ResearcherAbramson Cancer CenterActive in the last 2 years
Neha Bhagwat
Matched on ORCID iD 0009-0002-5766-0272; OpenAlex author ID A5060435781; NIH RePORTER profile ID 12336699. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 2, last author 0)
- Trials
- 0
- Grants
- 1
- Labs led
- 0
- Collaborators
- 23
2017: 1 paper, 1 grant · 2018: 1 paper · 2019: none · 2020: 1 paper · 2021: none · 2022: none · 2023: none · 2024: 1 paper
Papers 4
- Circulating KRAS G12D but not G12V is associated with survival in metastatic pancreatic ductal adenocarcinoma. Co-author DOI 10.1038/s41467-024-49915-5↗
- A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adeno… Co-author DOI 10.1158/1078-0432.ccr-19-3313↗
- miRNA Profiling of Magnetic Nanopore-Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. First author DOI 10.1158/0008-5472.can-17-3703↗
- Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes. First author DOI 10.1021/acsnano.7b05503↗
Grants 1
Closest collaborators
The 23 strongest of 23 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Erica L. Carpenter · 4 shared papers, 2017–2024 · strength 0.36
- Paper Circulating KRAS G12D but not G12V is associated with survival in metastatic pancreatic ductal adenocarcinoma. DOI 10.1038/s41467-024-49915-5↗
- Paper A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosi… DOI 10.1158/1078-0432.ccr-19-3313↗
- Paper miRNA Profiling of Magnetic Nanopore-Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. DOI 10.1158/0008-5472.can-17-3703↗
- Mark H. O’Hara · 3 shared papers, 2017–2024 · strength 0.28
- Paper Circulating KRAS G12D but not G12V is associated with survival in metastatic pancreatic ductal adenocarcinoma. DOI 10.1038/s41467-024-49915-5↗
- Paper A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosi… DOI 10.1158/1078-0432.ccr-19-3313↗
- Paper Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes. DOI 10.1021/acsnano.7b05503↗
- Jina Ko · 3 shared papers, 2017–2020 · strength 0.23
- Paper A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosi… DOI 10.1158/1078-0432.ccr-19-3313↗
- Paper miRNA Profiling of Magnetic Nanopore-Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. DOI 10.1158/0008-5472.can-17-3703↗
- Paper Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes. DOI 10.1021/acsnano.7b05503↗
- Ben Z. Stanger · 3 shared papers, 2017–2020 · strength 0.23
- Paper A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosi… DOI 10.1158/1078-0432.ccr-19-3313↗
- Paper miRNA Profiling of Magnetic Nanopore-Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. DOI 10.1158/0008-5472.can-17-3703↗
- Paper Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes. DOI 10.1021/acsnano.7b05503↗
- David Aaron Issadore · 3 shared papers, 2017–2020 · strength 0.23
- Paper A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosi… DOI 10.1158/1078-0432.ccr-19-3313↗
- Paper miRNA Profiling of Magnetic Nanopore-Isolated Extracellular Vesicles for the Diagnosis of Pancreatic Cancer. DOI 10.1158/0008-5472.can-17-3703↗
- Paper Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes. DOI 10.1021/acsnano.7b05503↗
- Jacob Edward Till · 2 shared papers, 2020–2024 · strength 0.22
- Paper Circulating KRAS G12D but not G12V is associated with survival in metastatic pancreatic ductal adenocarcinoma. DOI 10.1038/s41467-024-49915-5↗
- Paper A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosi… DOI 10.1158/1078-0432.ccr-19-3313↗
- Zev A. Wainberg · 1 shared paper, 2024 · strength 0.13
- Peter James O'Dwyer · 1 shared paper, 2024 · strength 0.13
- Andrew H. Ko · 1 shared paper, 2024 · strength 0.13
- Samuele Cannas · 1 shared paper, 2024 · strength 0.13
- Thomas Benjamin Karasic · 1 shared paper, 2024 · strength 0.13
- Jennifer Rachel Eads · 1 shared paper, 2024 · strength 0.13
- Robert A. Wolff · 1 shared paper, 2024 · strength 0.13
- Eileen Mary O'Reilly · 1 shared paper, 2024 · strength 0.13
- Lacey Padrón · 1 shared paper, 2024 · strength 0.13
- Robert H. Vonderheide · 1 shared paper, 2024 · strength 0.13
- George Albert Fisher · 1 shared paper, 2024 · strength 0.13
- Osama E. Rahma · 1 shared paper, 2024 · strength 0.13
- Kim A. Reiss · 1 shared paper, 2024 · strength 0.13
- Charles M. Vollmer · 1 shared paper, 2020 · strength 0.09
- Zijian Yang · 1 shared paper, 2020 · strength 0.09
- Bryson W. Katona · 1 shared paper, 2020 · strength 0.09
- Nicole M. Aiello · 1 shared paper, 2017 · strength 0.06
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.