Pancreatic Cancer Research

ResearcherMemorial Sloan Kettering Cancer CenterActive in the last 2 years

Peng Wei

ORCID-verified (high confidence, 0.95), identity_conf@1As of 6 November 2026

Matched on ORCID iD 0000-0001-7758-6116; OpenAlex author ID A5011982597; NIH RePORTER profile ID 10112286. Sources: OpenAlex.

Their work

Papers
9 (first author 3, last author 3)
Trials
0
Grants
1
Labs led
2
Collaborators
29
Papers, trials and grants by year

2012: 1 paper · 2013: none · 2014: 2 papers · 2015: none · 2016: 1 grant · 2017: 1 paper · 2018: none · 2019: 1 paper · 2020: 2 papers · 2021: none · 2022: 1 paper · 2023: none · 2024: 1 paper

Papers 9

  1. Identification of Pancreatic Cancer Germline Risk Variants With Effects That Are Modified by Smoking. Co-author DOI 10.1200/po.23.00355↗
  2. Identification of novel susceptibility methylation loci for pancreatic cancer in a two-phase epigenome-wide association study. Last author DOI 10.1080/15592294.2022.2026591↗
  3. Incorporating multiple sets of eQTL weights into gene-by-environment interaction analysis identifies novel susceptibility loci for pancreatic cancer. Last author DOI 10.1002/gepi.22348↗
  4. Genome-Wide Gene-Diabetes and Gene-Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia. Last author DOI 10.1158/1055-9965.epi-20-0275↗
  5. Vitamin C and Vitamin E Mitigate the Risk of Pancreatic Ductal Adenocarcinoma from Meat-Derived Mutagen Exposure in Adults in a Case-Control Study. Co-author DOI 10.1093/jn/nxz081↗
  6. Genetic polymorphisms associated with pancreatic cancer survival: a genome-wide association study. First author DOI 10.1002/ijc.30762↗
  7. Axonal guidance signaling pathway interacting with smoking in modifying the risk of pancreatic cancer: a gene- and pathway-based interaction analysis of GWAS d… First author DOI 10.1093/carcin/bgu010↗
  8. Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis. First author DOI 10.1158/1055-9965.epi-13-0437-t↗
  9. Insights into pancreatic cancer etiology from pathway analysis of genome-wide association study data. Co-author DOI 10.1371/journal.pone.0046887↗

Grants 1

  1. Genetic Susceptibility and Risk Model for Pancreatic Cancer R01CA169122↗

Closest collaborators

The 25 strongest of 29 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Donghui Li · 7 shared papers, 2012–2024 · strength 0.77
  2. Tianzhong Yang · 2 shared papers, 2020–2024 · strength 0.33
  3. Huili Zhu · 1 shared paper, 2024 · strength 0.24
  4. Ryan Sun · 1 shared paper, 2024 · strength 0.24
  5. Hongwei Tang · 3 shared papers, 2014–2019 · strength 0.22
  6. Manal M. Hassan · 2 shared papers, 2017–2019 · strength 0.19
  7. Li Jiao · 1 shared paper, 2022 · strength 0.17
  8. Ziqiao Wang · 1 shared paper, 2022 · strength 0.17
  9. Eric J. Duell · 3 shared papers, 2014–2020 · strength 0.15
  10. Malin Sund · 3 shared papers, 2014–2020 · strength 0.15
  11. Harvey A. Risch · 3 shared papers, 2014–2020 · strength 0.15
  12. Steve Gallinger · 3 shared papers, 2014–2020 · strength 0.15
  13. Paige M. Bracci · 3 shared papers, 2014–2020 · strength 0.15
  14. Hongwei Tang · 2 shared papers, 2012–2020 · strength 0.14
  15. Carrie R. Daniel · 1 shared paper, 2019 · strength 0.11
  16. Jiali Zheng · 1 shared paper, 2019 · strength 0.11
  17. Rachel Ε. Neale · 1 shared paper, 2020 · strength 0.09
  18. Rayjean J. Hung · 1 shared paper, 2020 · strength 0.09
  19. Robert C. Kurtz · 1 shared paper, 2020 · strength 0.09
  20. Ghislaine Scélo · 1 shared paper, 2020 · strength 0.09
  21. Ping Chang · 1 shared paper, 2017 · strength 0.07
  22. Sara H. Olson · 2 shared papers, 2014 · strength 0.06
  23. H. Bas Bueno-de-Mesquita · 2 shared papers, 2014 · strength 0.06
  24. Elio Ríboli · 2 shared papers, 2014 · strength 0.06
  25. Gloria M. Petersen · 2 shared papers, 2014 · 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.