Pancreatic Cancer Research

ResearcherMayo ClinicActive in the last 2 years

Lang Wu

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

Matched on ORCID iD 0000-0001-9938-3627; OpenAlex author ID A5061079851. Sources: OpenAlex.

Their work

Papers
20 (first author 2, last author 9)
Trials
0
Grants
0
Labs led
1
Collaborators
67
Papers, trials and grants by year

2014: 2 papers · 2015: 1 paper · 2016: 1 paper · 2017: none · 2018: 2 papers · 2019: none · 2020: 4 papers · 2021: 2 papers · 2022: none · 2023: 3 papers · 2024: 5 papers

Papers 20

  1. Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. Last author DOI 10.1002/ijc.34761↗
  2. Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. Last author DOI 10.1002/ijc.34771↗
  3. Evidence for a causal link between intra-pancreatic fat deposition and pancreatic cancer: A prospective cohort and Mendelian randomization study. Co-author DOI 10.1016/j.xcrm.2023.101391↗
  4. Evidence for a causal link between intra-pancreatic fat deposition and pancreatic cancer: A prospective cohort and Mendelian randomization study. Co-author DOI 10.1016/j.xcrm.2024.101842↗
  5. Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma. Last author DOI 10.1093/gigascience/giae012↗
  6. Associations between genetically predicted levels of blood metabolites and pancreatic cancer risk. Last author DOI 10.1002/ijc.34466↗
  7. External validation of genetically predicted protein biomarkers for pancreatic cancer risk using aptamer-based plasma levels: A prospective analysis in the Ath… Co-author DOI 10.1002/ijc.34624↗
  8. Splicing transcriptome-wide association study to identify splicing events for pancreatic cancer risk. Last author DOI 10.1093/carcin/bgad069↗
  9. Red meat consumption, cooking mutagens, NAT1/2 genotypes and pancreatic cancer risk in two ethnically diverse prospective cohorts. Co-author DOI 10.1002/ijc.33598↗
  10. Integrating Genome and Methylome Data to Identify Candidate DNA Methylation Biomarkers for Pancreatic Cancer Risk. Last author DOI 10.1158/1055-9965.epi-21-0400↗
  11. A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer. Co-author DOI 10.1093/jnci/djz246↗
  12. A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Genes for Pancreatic Cancer Risk. Last author DOI 10.1158/0008-5472.can-20-1353↗
  13. Associations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk. Last author DOI 10.1158/1055-9965.epi-20-0091↗
  14. Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk. Last author DOI 10.1158/1055-9965.epi-20-0651↗
  15. Physical Activity and Pancreatic Cancer Risk among Urban Chinese: Results from Two Prospective Cohort Studies. Co-author DOI 10.1158/1055-9965.epi-17-0895↗
  16. CDKN2A Germline Rare Coding Variants and Risk of Pancreatic Cancer in Minority Populations. Co-author DOI 10.1158/1055-9965.epi-17-1065↗
  17. Consumption of fruit and vegetables reduces risk of pancreatic cancer: evidence from epidemiological studies. First author DOI 10.1097/cej.0000000000000171↗
  18. Do variants associated with susceptibility to pancreatic cancer and type 2 diabetes reciprocally affect risk? Co-author DOI 10.1371/journal.pone.0117230↗
  19. Variants associated with susceptibility to pancreatic cancer and melanoma do not reciprocally affect risk. Co-author DOI 10.1158/1055-9965.epi-13-0627↗
  20. Parity and pancreatic cancer risk: a dose-response meta-analysis of epidemiologic studies. First author DOI 10.1371/journal.pone.0092738↗

Closest collaborators

The 25 strongest of 67 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jingjing Zhu · 9 shared papers, 2014–2024 · strength 1.48
  2. Shuai Liu · 4 shared papers, 2023–2024 · strength 0.94
  3. Hua Zhong · 3 shared papers, 2024 · strength 0.68
  4. Youping Deng · 3 shared papers, 2023–2024 · strength 0.62
  5. Brian Z. Huang · 3 shared papers, 2021–2024 · strength 0.53
  6. Veronica Wendy Setiawan · 3 shared papers, 2021–2024 · strength 0.53
  7. Wei Zheng · 5 shared papers, 2018–2021 · strength 0.46
  8. Samantha A. Streicher · 2 shared papers, 2024 · strength 0.40
  9. Hajime Yamazaki · 2 shared papers, 2024 · strength 0.40
  10. Heinz‐Josef Lenz · 2 shared papers, 2024 · strength 0.40
  11. Steven R. Grossman · 2 shared papers, 2024 · strength 0.40
  12. Xiao‐Ou Shu · 4 shared papers, 2018–2021 · strength 0.40
  13. Duo Liu · 3 shared papers, 2020–2023 · strength 0.37
  14. Herbert Yu · 3 shared papers, 2014–2024 · strength 0.37
  15. Tanxin Liu · 2 shared papers, 2023–2024 · strength 0.36
  16. Qizhi Cathy Yao · 2 shared papers, 2020–2024 · strength 0.27
  17. Dalia H. Ghoneim · 2 shared papers, 2020–2024 · strength 0.27
  18. Hua Zhong · 1 shared paper, 2023 · strength 0.26
  19. Gloria M. Petersen · 4 shared papers, 2014–2020 · strength 0.26
  20. Elizabeth A. Platz · 1 shared paper, 2023 · strength 0.19
  21. Anna E. Prizment · 1 shared paper, 2023 · strength 0.19
  22. William J. Blot · 2 shared papers, 2018–2021 · strength 0.18
  23. Kari G. Rabe · 3 shared papers, 2014–2018 · strength 0.18
  24. Jirong Long · 2 shared papers, 2020–2021 · strength 0.18
  25. Xiang Shu · 2 shared papers, 2020–2021 · strength 0.18

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.