Pancreatic Cancer Research

ResearcherMayo ClinicActive in the last 2 years

John B. Kisiel

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

Matched on ORCID iD 0000-0002-3840-5324; OpenAlex author ID A5017521990; NIH RePORTER profile ID 12240811. Sources: OpenAlex.

Their work

Papers
9 (first author 0, last author 2)
Trials
0
Grants
1
Labs led
1
Collaborators
44
Papers, trials and grants by year

2012: 1 paper · 2013: none · 2014: none · 2015: 1 paper · 2016: none · 2017: none · 2018: none · 2019: none · 2020: 1 paper · 2021: 2 papers · 2022: 1 paper · 2023: none · 2024: 1 grant · 2025: 2 papers · 2026: 1 paper

Papers 9

  1. Enhanced Molecular Staging of Pancreatic Cancer Using Methylated DNA Markers in Peritoneal Lavage Fluid. Co-author DOI 10.1002/jso.70292↗
  2. Multimodal Pancreatic Cancer Detection Using Methylated DNA Biomarkers in Pancreatic Juice and Plasma CA 19-9: A Prospective Multicenter Study. Co-author DOI 10.1016/j.cgh.2024.07.048↗
  3. Molecular Early Detection for Pancreatic Cancer in High-Risk Individuals: Are We Sure Yet? Co-author DOI 10.1053/j.gastro.2025.09.033↗
  4. Tissue methylated DNA markers for sporadic pancreatic cancer are strongly associated with familial and genetically predisposed pancreatic cancer. Last author DOI 10.1016/j.pan.2022.06.259↗
  5. Integrating Genome and Methylome Data to Identify Candidate DNA Methylation Biomarkers for Pancreatic Cancer Risk. Co-author DOI 10.1158/1055-9965.epi-21-0400↗
  6. High Detection Rates of Pancreatic Cancer Across Stages by Plasma Assay of Novel Methylated DNA Markers and CA19-9. Last author DOI 10.1158/1078-0432.ccr-20-0235↗
  7. Methylated DNA in Pancreatic Juice Distinguishes Patients With Pancreatic Cancer From Controls. Co-author DOI 10.1016/j.cgh.2019.07.017↗
  8. New DNA Methylation Markers for Pancreatic Cancer: Discovery, Tissue Validation, and Pilot Testing in Pancreatic Juice. Co-author DOI 10.1158/1078-0432.ccr-14-2469↗
  9. Stool DNA testing for the detection of pancreatic cancer: assessment of methylation marker candidates. Co-author DOI 10.1002/cncr.26558↗

Grants 1

  1. Multi-site Gastrointestinal Cancer Detection by Stool DNA Methylation R37CA214679↗

Closest collaborators

The 25 strongest of 44 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Douglas W. Mahoney · 9 shared papers, 2012–2026 · strength 1.33
  2. Shounak Majumder · 6 shared papers, 2020–2026 · strength 1.14
  3. Gloria M. Petersen · 5 shared papers, 2012–2022 · strength 0.40
  4. Massimo Raimondo · 3 shared papers, 2015–2025 · strength 0.29
  5. Jaime de la Fuente · 2 shared papers, 2021–2025 · strength 0.28
  6. David A. Ahlquist · 4 shared papers, 2012–2021 · strength 0.26
  7. Ferga C. Gleeson · 2 shared papers, 2020–2025 · strength 0.25
  8. Michael B. Wallace · 2 shared papers, 2020–2025 · strength 0.25
  9. Sean Patrick Cleary · 1 shared paper, 2026 · strength 0.22
  10. Krystal C. Mills · 1 shared paper, 2026 · strength 0.22
  11. Travis Edward Grotz · 1 shared paper, 2026 · strength 0.22
  12. Susanne Gray Warner · 1 shared paper, 2026 · strength 0.22
  13. Cornelius A. Thiels · 1 shared paper, 2026 · strength 0.22
  14. Mark Joseph Truty · 1 shared paper, 2026 · strength 0.22
  15. Suresh T. Chari · 3 shared papers, 2012–2021 · strength 0.22
  16. Sonal Gandhi · 1 shared paper, 2025 · strength 0.17
  17. Sanne A.M. Hoogenboom · 1 shared paper, 2025 · strength 0.17
  18. Jeanin Elise van Hooft · 1 shared paper, 2025 · strength 0.17
  19. Megan M.L. Engels · 1 shared paper, 2025 · strength 0.17
  20. Dhruv Sarwal · 1 shared paper, 2025 · strength 0.17
  21. Bhaumik S. Brahmbhatt · 1 shared paper, 2025 · strength 0.17
  22. Frank Lukens · 1 shared paper, 2025 · strength 0.17
  23. Eric J. Vargas · 1 shared paper, 2025 · strength 0.17
  24. Derk C.F. Klatte · 1 shared paper, 2025 · strength 0.17
  25. Vinay Chandrasekhara · 1 shared paper, 2025 · strength 0.17

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.