Pancreatic Cancer Research

ResearcherCatholic University of KoreaActive in the last 2 years

Seungyeoun Lee

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-7941-8933; OpenAlex author ID A5034909134. Sources: OpenAlex.

Their work

Papers
16 (first author 0, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
60
Papers, trials and grants by year

2014: 1 paper · 2015: 1 paper · 2016: none · 2017: 1 paper · 2018: 2 papers · 2019: none · 2020: 2 papers · 2021: 4 papers · 2022: 1 paper · 2023: 3 papers · 2024: none · 2025: 1 paper

Papers 16

  1. Machine learning models for pancreatic cancer diagnosis based on microbiome markers from serum extracellular vesicles. Co-author DOI 10.1038/s41598-025-94183-y↗
  2. Features of T1 pancreatic cancer and validation of the eighth edition AJCC staging system definition using a Korean-Japanese joint cohort and the SEER database. Co-author DOI 10.1002/jhbp.1316↗
  3. Multi-biomarker panel prediction model for diagnosis of pancreatic cancer. Co-author DOI 10.1002/jhbp.986↗
  4. Reconsidering the absence of extrapancreatic extension in T staging for pancreatic adenocarcinoma in the AJCC (8th ed) Staging Manual using the National Cancer… Co-author DOI 10.1007/s11605-023-05850-2↗
  5. Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning models. Last author DOI 10.5808/gi.22036↗
  6. Microbiome Markers of Pancreatic Cancer Based on Bacteria-Derived Extracellular Vesicles Acquired from Blood Samples: A Retrospective Propensity Score Matching… Co-author DOI 10.3390/biology10030219↗
  7. Diagnostic model for pancreatic cancer using a multi-biomarker panel. Co-author DOI 10.4174/astr.2021.100.3.144↗
  8. CORRIGENDUM: Addition of data source: Diagnostic model for pancreatic cancer using a multi-biomarker panel. Co-author DOI 10.4174/astr.2021.100.4.252↗
  9. Development and External Validation of Survival Prediction Model for Pancreatic Cancer Using Two Nationwide Databases: Surveillance, Epidemiology and End Resul… Co-author DOI 10.5009/gnl20306↗
  10. Is the New T1 Category as Defined in the Eighth Edition of the AJCC Pancreatic Cancer Staging System an Improvement? Co-author DOI 10.1007/s11605-019-04464-x↗
  11. Multi-Biomarker Panel Prediction Model for Diagnosis of Pancreatic Cancer: a retrospective and multi-center cohort study Co-author DOI 10.21203/rs.3.rs-76136/v1↗
  12. Multinational validation of the American Joint Committee on Cancer 8th edition pancreatic cancer staging system in a pancreas head cancer cohort. Co-author DOI 10.1002/jhbp.577↗
  13. Correction: Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel. Co-author DOI 10.18632/oncotarget.24175↗
  14. Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel. Co-author DOI 10.18632/oncotarget.21861↗
  15. Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer. Co-author DOI 10.1186/1471-2164-16-s9-s4↗
  16. Identifying molecular subtypes related to clinicopathologic factors in pancreatic cancer. Co-author DOI 10.1186/1475-925x-13-s2-s5↗

Closest collaborators

The 25 strongest of 60 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jin‐Young Jang · 16 shared papers, 2014–2025 · strength 1.76
  2. Taesung Park · 14 shared papers, 2014–2025 · strength 1.51
  3. Wooil Kwon · 13 shared papers, 2017–2025 · strength 1.44
  4. Hongbeom Kim · 8 shared papers, 2018–2023 · strength 0.78
  5. Jin Seok Heo · 8 shared papers, 2017–2023 · strength 0.72
  6. Chang Moo Kang · 7 shared papers, 2017–2023 · strength 0.63
  7. Song Cheol Kim · 6 shared papers, 2018–2023 · strength 0.58
  8. Junghyun Namkung · 7 shared papers, 2015–2023 · strength 0.55
  9. Joo Kyung Park · 6 shared papers, 2017–2023 · strength 0.51
  10. Yoonhyeong Byun · 5 shared papers, 2020–2023 · strength 0.50
  11. Jae Seung Kang · 5 shared papers, 2020–2023 · strength 0.49
  12. Woo Jin Lee · 5 shared papers, 2018–2023 · strength 0.46
  13. Joon Oh Park · 5 shared papers, 2018–2023 · strength 0.46
  14. In Woong Han · 4 shared papers, 2020–2023 · strength 0.42
  15. Jae Ri Kim · 3 shared papers, 2018–2021 · strength 0.29
  16. Huisong Lee · 3 shared papers, 2020–2023 · strength 0.29
  17. Sun‐Whe Kim · 4 shared papers, 2015–2020 · strength 0.28
  18. Doeun Lee · 1 shared paper, 2025 · strength 0.25
  19. Hyun-Suk Kim · 1 shared paper, 2022 · strength 0.22
  20. Yoo‐Seok Yoon · 2 shared papers, 2021–2023 · strength 0.22
  21. Chang-Sup Lim · 2 shared papers, 2021–2023 · strength 0.22
  22. Sang‐Jae Park · 2 shared papers, 2021–2023 · strength 0.22
  23. Eunsung Jun · 2 shared papers, 2020–2023 · strength 0.20
  24. Doo‐Ho Lee · 2 shared papers, 2020–2023 · strength 0.20
  25. Yoo Jin Choi · 2 shared papers, 2021 · strength 0.20

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.