Pancreatic Cancer Research

ResearcherMemorial Sloan Kettering Cancer CenterActive in the last 2 years

Amber L. Simpson

ORCID-verified (high confidence, 0.95), identity_conf@1As of 6 November 2026

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

Their work

Papers
9 (first author 1, 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. First 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) AWARD pancan:2016-amber-simpson-phd-career-development-award-amber-simpson-c

Closest collaborators

The 25 strongest of 30 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Vinod P. Balachandran · 5 shared papers, 2018–2022 · strength 0.45
  2. T. Peter Kingham · 5 shared papers, 2018–2022 · strength 0.45
  3. Michael Ian D'Angelica · 5 shared papers, 2018–2022 · strength 0.45
  4. William R. Jarnagin · 5 shared papers, 2018–2022 · strength 0.45
  5. Richard Kinh Gian · 5 shared papers, 2018–2022 · strength 0.45
  6. Peter J. Allen · 5 shared papers, 2017–2022 · strength 0.42
  7. Jayasree Chakraborty · 4 shared papers, 2017–2022 · strength 0.34
  8. Caitlin A. McIntyre · 3 shared papers, 2019–2022 · strength 0.30
  9. Jeffrey A. Drebin · 3 shared papers, 2019–2022 · strength 0.30
  10. Weichung Wang · 1 shared paper, 2020 · strength 0.19
  11. Wei‐Chih Liao · 1 shared paper, 2020 · strength 0.19
  12. Samantha B. Kemp · 1 shared paper, 2024 · strength 0.18
  13. Benjamin Kahn · 1 shared paper, 2024 · strength 0.18
  14. Jonathan Sussman · 1 shared paper, 2024 · strength 0.18
  15. Ben Z. Stanger · 1 shared paper, 2024 · strength 0.18
  16. Gregory Lawrence Beatty · 1 shared paper, 2024 · strength 0.18
  17. Eileen Mary O'Reilly · 2 shared papers, 2017–2021 · strength 0.17
  18. Marc A. Attiyeh · 2 shared papers, 2018–2019 · strength 0.15
  19. Constantinos Pantelis Zambirinis · 1 shared paper, 2022 · strength 0.13
  20. Jian Zheng · 1 shared paper, 2022 · strength 0.13
  21. Marinela Capanu · 1 shared paper, 2021 · strength 0.10
  22. Peter J. Allen · 1 shared paper, 2021 · strength 0.10
  23. Shannan M. Dickinson · 1 shared paper, 2021 · strength 0.10
  24. Linda M. Pak · 1 shared paper, 2018 · strength 0.08
  25. Olca Baştürk · 1 shared paper, 2019 · strength 0.08

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.