Pancreatic Cancer Research

ResearcherMayo ClinicActive in the last 2 years

Temel Tirkes

Matched on ORCID iD 0000-0002-0185-8741; OpenAlex author ID A5075615898; NIH RePORTER profile ID 12552016. Sources: OpenAlex.

Their work

Papers
6
Trials
0
Grants
3
Labs led
0
Collaborators
45
Papers, trials and grants by year

2018: 1 paper · 2019: 2 papers · 2020: 1 grant · 2021: none · 2022: none · 2023: 1 paper · 2024: none · 2025: 1 paper, 1 grant · 2026: 1 paper, 1 grant

Papers 6

  1. Adult Chronic Pancreatitis Working Group: Goals, Accomplishments and the Path Ahead. A Report From the Consortium for the Study of Chronic Pancreatitis, Diabet… Co-author DOI 10.1097/mpa.0000000000002657↗
  2. Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans. Co-author DOI 10.3390/cancers17111886↗
  3. A review of deep learning and radiomics approaches for pancreatic cancer diagnosis from medical imaging. Co-author DOI 10.1097/mog.0000000000000966↗
  4. Magnetic resonance imaging as a non-invasive method for the assessment of pancreatic fibrosis (MINIMAP): a comprehensive study design from the consortium for t… Co-author DOI 10.1007/s00261-019-02049-5↗
  5. Reporting Standards for Chronic Pancreatitis by Using CT, MRI, and MR Cholangiopancreatography: The Consortium for the Study of Chronic Pancreatitis, Diabetes,… Co-author DOI 10.1148/radiol.2018181353↗
  6. PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies: Rationale and Study Design for PROCEED From the Consortium for the … Co-author DOI 10.1097/mpa.0000000000001170↗

Grants 3

  1. Indiana University (IU) Clinical Center for Chronic Pancreatitis Clinical Research Network U01DK108323↗
  2. Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images R01CA260955↗
  3. Magnetic resonance Imaging as a Non-Invasive Method for Assessment of Pancreatic fibrosis (MINIMAP): a pilot study R01DK116963↗

Closest collaborators

The 25 strongest of 45 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Evan L Fogel · 4 shared papers, 2 shared grants, 2018–2026 · strength 1.93
  2. Stephen Jacob Pandol · 4 shared papers, 1 shared grant, 2018–2026 · strength 1.28
  3. Jeffrey J. Easler · 1 shared grant, 2026 · strength 1.00
  4. Debiao Li · 1 shared paper, 1 shared grant, 2025 · strength 0.91
  5. Cemal Yazici · 1 shared grant, 2025 · strength 0.73
  6. Mark D. Topazian · 4 shared papers, 2018–2026 · strength 0.46
  7. Dhiraj Yadav · 4 shared papers, 2018–2026 · strength 0.46
  8. Darwin Lewis Conwell · 4 shared papers, 2018–2026 · strength 0.46
  9. Walter Gwang-Up Park · 4 shared papers, 2018–2026 · strength 0.46
  10. José Serrano · 3 shared papers, 2018–2026 · strength 0.37
  11. Christopher E Forsmark · 2 shared papers, 2018–2026 · strength 0.29
  12. Phil A. Hart · 2 shared papers, 2018–2026 · strength 0.29
  13. Christie Y. Jeon · 2 shared papers, 2018–2025 · strength 0.24
  14. Liang Li · 1 shared paper, 2026 · strength 0.23
  15. Melena D. Bellin · 1 shared paper, 2026 · strength 0.23
  16. Jami Lynn Saloman · 1 shared paper, 2026 · strength 0.23
  17. Tonya Palermo · 1 shared paper, 2026 · strength 0.23
  18. Dana K. Andersen · 1 shared paper, 2026 · strength 0.23
  19. Zobeida Cruz‐Monserrate · 1 shared paper, 2026 · strength 0.23
  20. Santhi Swaroop Vege · 1 shared paper, 2026 · strength 0.23
  21. Ulaş Bağcı · 1 shared paper, 2023 · strength 0.22
  22. Lanhong Yao · 1 shared paper, 2023 · strength 0.22
  23. Vahid Yaghmai · 1 shared paper, 2025 · strength 0.18
  24. Lixia Wang · 1 shared paper, 2025 · strength 0.18
  25. Camila Lopes Vendrami · 1 shared paper, 2025 · 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.