Pancreatic Cancer Research

ResearcherMemorial Sloan Kettering Cancer CenterActive in the last 2 years

Jayasree Chakraborty

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0003-4434-8861; OpenAlex author ID A5068108309. Sources: OpenAlex.

Their work

Papers
8 (first author 2, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
27
Papers, trials and grants by year

2017: 1 paper · 2018: 1 paper · 2019: 1 paper · 2020: none · 2021: none · 2022: 1 paper · 2023: 2 papers · 2024: 1 paper · 2025: 1 paper

Papers 8

  1. Radiomics in sporadic microsatellite instable, mismatch repair deficient and Lynch syndrome-associated pancreatic ductal adenocarcinoma: a pilot study. Co-author DOI 10.3389/fonc.2025.1584167↗
  2. Multi-parametric atlas of the pre-metastatic liver for prediction of metastatic outcome in early-stage pancreatic cancer. Co-author DOI 10.1038/s41591-024-03075-7↗
  3. Registration-based biomarkers for neoadjuvant treatment response of pancreatic cancer via longitudinal image registration. Last author DOI 10.1117/1.jmi.10.3.036002↗
  4. CT Imaging Assessment of Pancreatic Adenocarcinoma Resectability after Neoadjuvant Therapy: Current Status and Perspective on the Use of Radiomics. Co-author DOI 10.3390/jcm12216821↗
  5. Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Co-author DOI 10.1245/s10434-022-11579-0↗
  6. CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma. First author DOI 10.1007/s00261-019-02112-1↗
  7. Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis. First author DOI 10.1245/s10434-017-6323-3↗
  8. Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients. Co-author DOI 10.1371/journal.pone.0188022↗

Closest collaborators

The 25 strongest of 27 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. William R. Jarnagin · 5 shared papers, 2018–2025 · strength 0.66
  2. Natally de Souza Maciel Rocha Horvat · 3 shared papers, 2023–2025 · strength 0.57
  3. Richard Kinh Gian Do · 5 shared papers, 2017–2023 · strength 0.51
  4. Vinod P. Balachandran · 4 shared papers, 2018–2025 · strength 0.48
  5. Michael Ian D'Angelica · 4 shared papers, 2018–2025 · strength 0.48
  6. Jeffrey A. Drebin · 3 shared papers, 2019–2025 · strength 0.41
  7. Alice Chia-Chi Wei · 2 shared papers, 2023–2025 · strength 0.39
  8. Peter J. Allen · 4 shared papers, 2017–2022 · strength 0.34
  9. Amber L. Simpson · 4 shared papers, 2017–2022 · strength 0.34
  10. T. Peter Kingham · 3 shared papers, 2018–2022 · strength 0.27
  11. Eileen Mary O'Reilly · 2 shared papers, 2017–2023 · strength 0.24
  12. Ellis L. Eikenboom · 1 shared paper, 2025 · strength 0.21
  13. Kevin C. Soares · 1 shared paper, 2025 · strength 0.21
  14. T. Peter Kingham · 1 shared paper, 2025 · strength 0.21
  15. Caitlin A. McIntyre · 2 shared papers, 2019–2022 · strength 0.20
  16. Hala Khasawneh · 1 shared paper, 2023 · strength 0.18
  17. Jon S. Heiselman · 1 shared paper, 2023 · strength 0.18
  18. Brett Logan Ecker · 1 shared paper, 2023 · strength 0.18
  19. Marc A. Attiyeh · 2 shared papers, 2018–2019 · strength 0.15
  20. Constantinos Pantelis Zambirinis · 1 shared paper, 2022 · strength 0.13
  21. Jian Zheng · 1 shared paper, 2022 · strength 0.13
  22. Olca Baştürk · 1 shared paper, 2019 · strength 0.08
  23. Gökçe Aşkan · 1 shared paper, 2019 · strength 0.08
  24. Christine A. Iacobuzio–Donahue · 1 shared paper, 2019 · strength 0.08
  25. Alexandre Doussot · 1 shared paper, 2018 · strength 0.07

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.