ResearcherSeoul National UniversityActive in the last 2 years
Soomin Ahn
Matched on ORCID iD 0000-0001-8243-2445; OpenAlex author ID A5057764906. Sources: OpenAlex.
Their work
- Papers
- 4
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 14
2019: 1 paper · 2020: 1 paper · 2021: none · 2022: 1 paper · 2023: none · 2024: none · 2025: 1 paper
Papers 4
- Spatial transcriptomics reveal high T cell and monocyte status as predictive and prognostic markers in pancreatic cancer. Co-author DOI 10.1186/s12967-025-06599-9↗
- Four-Tier Pathologic Tumor Regression Grading System Predicts the Clinical Outcome in Patients Who Undergo Surgical Resection for Locally Advanced Pancreatic C… Co-author DOI 10.5009/gnl20312↗
- Higher Tumor Cellularity in Resected Pancreatic Ductal Adenocarcinoma Is a Negative Prognostic Indicator. Co-author DOI 10.5009/gnl19180↗
- Accuracy of an administrative database for pancreatic cancer by international classification of disease 10th codes: A retrospective large-cohort study. Co-author DOI 10.3748/wjg.v25.i37.5619↗
Closest collaborators
The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Jin‐Hyeok Hwang · 3 shared papers, 2020–2025 · strength 0.51
- Paper Spatial transcriptomics reveal high T cell and monocyte status as predictive and prognostic markers in pancreatic cance… DOI 10.1186/s12967-025-06599-9↗
- Paper Four-Tier Pathologic Tumor Regression Grading System Predicts the Clinical Outcome in Patients Who Undergo Surgical Res… DOI 10.5009/gnl20312↗
- Paper Higher Tumor Cellularity in Resected Pancreatic Ductal Adenocarcinoma Is a Negative Prognostic Indicator. DOI 10.5009/gnl19180↗
- Jaihwan Kim · 3 shared papers, 2020–2025 · strength 0.51
- Paper Spatial transcriptomics reveal high T cell and monocyte status as predictive and prognostic markers in pancreatic cance… DOI 10.1186/s12967-025-06599-9↗
- Paper Four-Tier Pathologic Tumor Regression Grading System Predicts the Clinical Outcome in Patients Who Undergo Surgical Res… DOI 10.5009/gnl20312↗
- Paper Higher Tumor Cellularity in Resected Pancreatic Ductal Adenocarcinoma Is a Negative Prognostic Indicator. DOI 10.5009/gnl19180↗
- Jong-Chan Lee · 3 shared papers, 2019–2022 · strength 0.40
- Paper Four-Tier Pathologic Tumor Regression Grading System Predicts the Clinical Outcome in Patients Who Undergo Surgical Res… DOI 10.5009/gnl20312↗
- Paper Higher Tumor Cellularity in Resected Pancreatic Ductal Adenocarcinoma Is a Negative Prognostic Indicator. DOI 10.5009/gnl19180↗
- Paper Accuracy of an administrative database for pancreatic cancer by international classification of disease 10th codes: A r… DOI 10.3748/wjg.v25.i37.5619↗
- Yoo‐Seok Yoon · 2 shared papers, 2022–2025 · strength 0.39
- Paper Spatial transcriptomics reveal high T cell and monocyte status as predictive and prognostic markers in pancreatic cance… DOI 10.1186/s12967-025-06599-9↗
- Paper Four-Tier Pathologic Tumor Regression Grading System Predicts the Clinical Outcome in Patients Who Undergo Surgical Res… DOI 10.5009/gnl20312↗
- Ho‐Seong Han · 2 shared papers, 2022–2025 · strength 0.39
- Paper Spatial transcriptomics reveal high T cell and monocyte status as predictive and prognostic markers in pancreatic cance… DOI 10.1186/s12967-025-06599-9↗
- Paper Four-Tier Pathologic Tumor Regression Grading System Predicts the Clinical Outcome in Patients Who Undergo Surgical Res… DOI 10.5009/gnl20312↗
- Haeryoung Kim · 2 shared papers, 2020–2022 · strength 0.28
- Kwangrok Jung · 1 shared paper, 2025 · strength 0.22
- Yeon Bi Han · 1 shared paper, 2025 · strength 0.22
- Young Hoon Kim · 1 shared paper, 2022 · strength 0.16
- Hyunjin Park · 1 shared paper, 2020 · strength 0.12
- In Kuk Cho · 1 shared paper, 2020 · strength 0.12
- Seon Mee Park · 1 shared paper, 2019 · strength 0.11
- Nayoung Kim · 1 shared paper, 2019 · strength 0.11
- Young‐Jae Hwang · 1 shared paper, 2019 · strength 0.11
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.