Pancreatic Cancer Research

ResearcherMemorial Sloan Kettering Cancer CenterActive in the last 2 years

Amber L. Simpson

ORCID-verified (high confidence)As of 10 November 2026

Matched on ORCID iD 0000-0002-4387-8417; OpenAlex author ID A5000336389.

Their work

Papers
9 (first author 0, last author 2)
Trials
0
Grants
1
Labs led
1
Collaborators
30
Papers, trials and grants by year

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

Papers 9

  1. 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↗
  2. Multiplexed Imaging Mass Cytometry Analysis Characterizes the Vascular Niche in Pancreatic Cancer. Co-author DOI 10.1158/0008-5472.can-23-2352↗
  3. 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↗
  4. Preoperative CT predictors of survival in patients with pancreatic ductal adenocarcinoma undergoing curative intent surgery. Co-author DOI 10.1007/s00261-020-02726-w↗
  5. Convolutional neural network for the detection of pancreatic cancer on CT scans - Authors' reply. Co-author DOI 10.1016/s2589-7500(20)30188-6↗
  6. CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-019-02112-1↗
  7. Can physician gestalt predict survival in patients with resectable pancreatic adenocarcinoma? Last author DOI 10.1007/s00261-017-1407-x↗
  8. Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis. Co-author DOI 10.1245/s10434-017-6323-3↗
  9. Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients. Last author DOI 10.1371/journal.pone.0188022↗

Grants 1

  1. Career Development Award: Amber Simpson (CT texture analysis of IPMN) PanCAN award

Closest collaborators

The 25 strongest of 30 ranked by shared papers, trials and grants, with recent and small-team work weighing most.

  1. Richard Kinh Gian Do · 6 shared papers, 2017–2022
  2. Vinod P. Balachandran · 5 shared papers, 2018–2022
  3. T. Peter Kingham · 5 shared papers, 2018–2022
  4. Michael Ian D'Angelica · 5 shared papers, 2018–2022
  5. William R. Jarnagin · 5 shared papers, 2018–2022
  6. Peter J Allen · 5 shared papers, 2017–2022
  7. Jayasree Chakraborty · 4 shared papers, 2017–2022
  8. Caitlin A. McIntyre · 3 shared papers, 2019–2022
  9. Jeffrey A. Drebin · 3 shared papers, 2019–2022
  10. Weichung Wang · 1 shared paper, 2020
  11. Wei-Chih Liao · 1 shared paper, 2020
  12. Samantha Blake Kemp · 1 shared paper, 2024
  13. Benjamin Michael Kahn · 1 shared paper, 2024
  14. Jonathan Sussman · 1 shared paper, 2024
  15. Ben Z. Stanger · 1 shared paper, 2024
  16. Gregory Lawrence Beatty · 1 shared paper, 2024
  17. Eileen Mary O'Reilly · 2 shared papers, 2017–2021
  18. Marc A. Attiyeh · 2 shared papers, 2018–2019
  19. Constantinos Pantelis Zambirinis · 1 shared paper, 2022
  20. Jian Zheng · 1 shared paper, 2022
  21. Peter J. Allen · 1 shared paper, 2021
  22. Shannan M. Dickinson · 1 shared paper, 2021
  23. Marinela Capanu · 1 shared paper, 2021
  24. Linda M. Pak · 1 shared paper, 2018
  25. Gökçe Aşkan · 1 shared paper, 2019

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (the fewest links first, then the links with the most shared work). Built from public records only; no contact details are kept.