ResearcherThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research InstituteActive in the last 2 years
Ashish Manne
Matched on ORCID iD 0000-0003-2356-5162; OpenAlex author ID A5049484010, A5096950690. Sources: ClinicalTrials.gov.
Their work
- Papers
- 19 (first author 2, last author 2)
- Trials
- 1 (principal investigator on 1)
- Grants
- 0
- Labs led
- 1
- Collaborators
- 47
2021: 1 paper · 2022: 1 paper · 2023: 2 papers · 2024: 2 papers, 1 trial · 2025: 5 papers · 2026: 8 papers
Papers 19
- Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and analysis of the National Cancer Databas… Co-author DOI 10.14701/ahbps.25-209↗
- Polygenic Risk Scores for Pancreatic Cancer Risk Prediction and Early Detection: A Systematic Evidence Review of Clinical Utility Co-author DOI 10.20944/preprints202610.1580.v1↗
- Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning Co-author DOI 10.21203/rs.3.rs-8545050/v1↗
- Metastatic Pancreatic Adenocarcinoma with Germline BLM and Somatic ATM Mutations: A Case Report and Review of DNA Damage Response. Co-author DOI 10.29011/2574-7754.102521↗
- Genomic Biomarkers for First-Line Treatment Selection in Metastatic Pancreatic Ductal Adenocarcinoma: A Narrative Review. Last author DOI 10.3390/cancers18101664↗
- Molecular Characterization of Small Extracellular Vesicles in Pancreatic Cancer Patients Treated with Neoadjuvant Chemotherapy Followed by Stereotactic Body Ra… Co-author DOI 10.3390/cancers18111704↗
- Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning Co-author DOI 10.64898/2026.01.06.26343539↗
- Transcriptomic Profiling and Demographic Analysis of Appalachian Patients with Pancreatic Ductal Adenocarcinoma using the Purity Independent Subtyping of Tumor… Co-author DOI 10.64898/2026.09.22.26363302↗
- Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognosis. Co-author DOI 10.1016/j.hpb.2025.08.015↗
- Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Undergoing Neoadjuvant Therapy. Co-author DOI 10.1097/xcs.0000000000001277↗
- Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. Co-author DOI 10.3389/fonc.2025.1544928↗
- Blood-based biomarkers in pancreatic ductal adenocarcinoma: developments over the last decade and what holds for the future- a review. First author DOI 10.3389/fonc.2025.1555963↗
- Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies. First author DOI 10.3390/cancers17040589↗
- Serum MUC5AC Predicts Recurrence in Pancreatic Ductal Adenocarcinoma Patients on Neoadjuvant Chemotherapy Co-author DOI 10.20944/preprints202409.0945.v1↗
- Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. Co-author DOI 10.3390/ijms25169041↗
- Differential Expression and Diagnostic Value of MUC5AC Glycoforms in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/cancers15194832↗
- Predictive Value of MUC5AC Signature in Pancreatic Ductal Adenocarcinoma: A Hypothesis Based on Preclinical Evidence. Co-author DOI 10.3390/ijms24098087↗
- Is Cell-Free DNA Testing in Pancreatic Ductal Adenocarcinoma Ready for Prime Time? Last author DOI 10.3390/cancers14143453↗
- Understanding the Clinical Impact of MUC5AC Expression on Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/cancers13123059↗
Trials 1
Closest collaborators
The 25 strongest of 47 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Ashwini Kumar Esnakula · 8 shared papers, 2021–2026 · strength 1.73
- Paper Predictive Value of MUC5AC Signature in Pancreatic Ductal Adenocarcinoma: A Hypothesis Based on Preclinical Evidence. DOI 10.3390/ijms24098087↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Ravi Kumar Paluri · 6 shared papers, 2023–2026 · strength 1.41
- Paper Metastatic Pancreatic Adenocarcinoma with Germline BLM and Somatic ATM Mutations: A Case Report and Review of DNA Damag… DOI 10.29011/2574-7754.102521↗
- Paper Molecular Characterization of Small Extracellular Vesicles in Pancreatic Cancer Patients Treated with Neoadjuvant Chemo… DOI 10.3390/cancers18111704↗
- Paper Predictive Value of MUC5AC Signature in Pancreatic Ductal Adenocarcinoma: A Hypothesis Based on Preclinical Evidence. DOI 10.3390/ijms24098087↗
- Upender Manne · 6 shared papers, 2024–2026 · strength 1.35
- Paper Molecular Characterization of Small Extracellular Vesicles in Pancreatic Cancer Patients Treated with Neoadjuvant Chemo… DOI 10.3390/cancers18111704↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Anne M. Noonan · 6 shared papers, 2024–2026 · strength 1.31
- Paper Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and… DOI 10.14701/ahbps.25-209↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Jordan M. Cloyd · 6 shared papers, 2024–2026 · strength 1.23
- Paper Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and… DOI 10.14701/ahbps.25-209↗
- Paper Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Underg… DOI 10.1097/xcs.0000000000001277↗
- Paper Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognos… DOI 10.1016/j.hpb.2025.08.015↗
- Anup Kasi · 5 shared papers, 2023–2026 · strength 1.09
- Paper Metastatic Pancreatic Adenocarcinoma with Germline BLM and Somatic ATM Mutations: A Case Report and Review of DNA Damag… DOI 10.29011/2574-7754.102521↗
- Paper Predictive Value of MUC5AC Signature in Pancreatic Ductal Adenocarcinoma: A Hypothesis Based on Preclinical Evidence. DOI 10.3390/ijms24098087↗
- Paper Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. DOI 10.3389/fonc.2025.1544928↗
- Mary E. Dillhoff · 5 shared papers, 2024–2026 · strength 1.02
- Paper Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and… DOI 10.14701/ahbps.25-209↗
- Paper Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Underg… DOI 10.1097/xcs.0000000000001277↗
- Paper Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognos… DOI 10.1016/j.hpb.2025.08.015↗
- Timothy Michael Pawlik · 4 shared papers, 2025–2026 · strength 0.93
- Paper Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and… DOI 10.14701/ahbps.25-209↗
- Paper Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Underg… DOI 10.1097/xcs.0000000000001277↗
- Paper Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognos… DOI 10.1016/j.hpb.2025.08.015↗
- Deepak Sherpally · 3 shared papers, 2024–2025 · strength 0.90
- Paper Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies. DOI 10.3390/cancers17040589↗
- Paper Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. DOI 10.3389/fonc.2025.1544928↗
- Paper Serum MUC5AC Predicts Recurrence in Pancreatic Ductal Adenocarcinoma Patients on Neoadjuvant Chemotherapy DOI 10.20944/preprints202409.0945.v1↗
- Aslam M. Ejaz · 4 shared papers, 2024–2026 · strength 0.81
- Paper Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and… DOI 10.14701/ahbps.25-209↗
- Paper Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Underg… DOI 10.1097/xcs.0000000000001277↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Shafia Rahman · 4 shared papers, 2024–2026 · strength 0.79
- Paper Simultaneous resection of pancreatic cancer and liver metastases following total neoadjuvant therapy: A case series and… DOI 10.14701/ahbps.25-209↗
- Paper Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognos… DOI 10.1016/j.hpb.2025.08.015↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Lianbo Yu · 4 shared papers, 2023–2025 · strength 0.75
- Paper Differential Expression and Diagnostic Value of MUC5AC Glycoforms in Pancreatic Ductal Adenocarcinoma. DOI 10.3390/cancers15194832↗
- Paper Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. DOI 10.3389/fonc.2025.1544928↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Ankur Sheel · 4 shared papers, 2022–2025 · strength 0.74
- Paper Is Cell-Free DNA Testing in Pancreatic Ductal Adenocarcinoma Ready for Prime Time? DOI 10.3390/cancers14143453↗
- Paper Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. DOI 10.3389/fonc.2025.1544928↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Eric David Miller · 3 shared papers, 2024–2025 · strength 0.61
- Paper Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Underg… DOI 10.1097/xcs.0000000000001277↗
- Paper Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognos… DOI 10.1016/j.hpb.2025.08.015↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Ronit Juthani · 1 shared paper, 2025 · strength 0.54
- Muhammad Khalid Khan Niazi · 2 shared papers, 2026 · strength 0.53
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Abdul Akbar · 2 shared papers, 2026 · strength 0.53
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Susan Tsai · 2 shared papers, 2026 · strength 0.53
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Vaibhav Sahai · 2 shared papers, 2026 · strength 0.53
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.21203/rs.3.rs-8545050/v1↗
- Paper Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning DOI 10.64898/2026.01.06.26343539↗
- Kannan Thanikachalam · 3 shared papers, 2024–2025 · strength 0.51
- Paper Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. DOI 10.3389/fonc.2025.1544928↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Paper Serum MUC5AC Predicts Recurrence in Pancreatic Ductal Adenocarcinoma Patients on Neoadjuvant Chemotherapy DOI 10.20944/preprints202409.0945.v1↗
- Wancai Yang · 3 shared papers, 2024–2025 · strength 0.51
- Paper Prognostic significance of serum MUC5AC in resected pancreatic ductal adenocarcinoma: initial insights. DOI 10.3389/fonc.2025.1544928↗
- Paper Mature MUC5AC Expression in Resected Pancreatic Ductal Adenocarcinoma Predicts Treatment Response and Outcomes. DOI 10.3390/ijms25169041↗
- Paper Serum MUC5AC Predicts Recurrence in Pancreatic Ductal Adenocarcinoma Patients on Neoadjuvant Chemotherapy DOI 10.20944/preprints202409.0945.v1↗
- Anushareddy Muddasani · 1 shared paper, 2026 · strength 0.50
- Patrick W. Underwood · 2 shared papers, 2025 · strength 0.45
- Paper Textbook Neoadjuvant Experience: Defining a Novel Composite Outcomes Measure for Patients with Pancreatic Cancer Underg… DOI 10.1097/xcs.0000000000001277↗
- Paper Hospital admission during neoadjuvant therapy for pancreatic ductal adenocarcinoma: prevalence, predictors, and prognos… DOI 10.1016/j.hpb.2025.08.015↗
- Laith I. Abushahin · 2 shared papers, 2021–2026 · strength 0.45
- Allan Tsung · 2 shared papers, 2021–2023 · strength 0.43
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.