Pancreatic Cancer Research

ResearcherJohns Hopkins UniversityActive in the last 2 years

Satomi Kawamoto

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

Matched on ORCID iD 0000-0002-3577-1388; OpenAlex author ID A5090751616, A5137512498. Sources: OpenAlex.

Their work

Papers
19 (first author 2, last author 3)
Trials
0
Grants
0
Labs led
1
Collaborators
46
Papers, trials and grants by year

2014: 1 paper · 2015: none · 2016: none · 2017: none · 2018: 1 paper · 2019: 2 papers · 2020: 3 papers · 2021: 2 papers · 2022: 1 paper · 2023: 1 paper · 2024: 4 papers · 2025: 1 paper · 2026: 3 papers

Papers 19

  1. Prevalence and Imaging Characteristics of Chronic Calcific Pancreatitis in Patients With Newly Diagnosed Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/rct.0000000000001916↗
  2. Radiomics in Early Detection of Pancreatic Ductal Adenocarcinoma: A Close Look at Its Current Status and Challenges to Clinical Implementation. Co-author DOI 10.1177/08465371251351810↗
  3. From Bench to Bedside: The Path Toward Real-World Translation for Artificial Intelligence in Pancreatic Cancer Detection. Co-author DOI 10.3348/kjr.2026.0003↗
  4. Early detection of pancreatic cancer on computed tomography: advancements with deep learning. Co-author DOI 10.1093/radadv/umaf028↗
  5. Hidden in plain sight: commonly missed early signs of pancreatic cancer on CT. Last author DOI 10.1007/s00261-024-04334-4↗
  6. Early detection of pancreatic cancer in the era of precision medicine. First author DOI 10.1007/s00261-024-04358-w↗
  7. Diminishing calcifications as a potential predictor of pancreatic ductal adenocarcinoma arising in association with IPMN in patients with chronic pancreatitis. Last author DOI 10.1016/j.radcr.2024.08.018↗
  8. Factors associated with radiological misstaging of pancreatic ductal adenocarcinoma: A retrospective observational study. Co-author DOI 10.1067/j.cpradiol.2024.03.001↗
  9. Radiologists' Expectations of Artificial Intelligence in Pancreatic Cancer Imaging: How Good Is Good Enough? Co-author DOI 10.1097/rct.0000000000001503↗
  10. The Impact of the COVID-19 Pandemic on Multidisciplinary Clinics: A High-Volume Pancreatic Cancer Center Experience. Co-author DOI 10.1067/j.cpradiol.2022.05.001↗
  11. Pancreatic Cancer Imaging: A New Look at an Old Problem. Co-author DOI 10.1067/j.cpradiol.2020.08.002↗
  12. CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2214/ajr.20.23490↗
  13. Pitfalls in the MDCT of pancreatic cancer: strategies for minimizing errors. First author DOI 10.1007/s00261-019-02390-9↗
  14. Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarci… Co-author DOI 10.1007/s00261-020-02556-w↗
  15. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features. Last author DOI 10.1016/j.diii.2020.03.002↗
  16. Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. Co-author DOI 10.1016/j.jacr.2019.05.034↗
  17. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. Co-author DOI 10.2214/ajr.18.20901↗
  18. Assessment of iodine uptake by pancreatic cancer following chemotherapy using dual-energy CT. Co-author DOI 10.1007/s00261-017-1338-6↗
  19. Differentiating autoimmune pancreatitis from pancreatic adenocarcinoma using dual-phase computed tomography. Co-author DOI 10.1097/rct.0b013e3182a9a431↗

Closest collaborators

The 25 strongest of 46 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Elliot K. Fishman · 18 shared papers, 2014–2026 · strength 3.08
  2. Linda Chi Hang Chu · 16 shared papers, 2019–2026 · strength 2.93
  3. Ralph H. Hruban · 11 shared papers, 2019–2024 · strength 1.55
  4. Felipe Lopez-Ramirez · 5 shared papers, 2024–2026 · strength 1.43
  5. Taha Muneer Ahmed · 5 shared papers, 2023–2024 · strength 1.06
  6. Florent Tixier · 3 shared papers, 2025–2026 · strength 0.97
  7. Ammar A. Javed · 5 shared papers, 2022–2024 · strength 0.93
  8. Mohammad Yasrab · 4 shared papers, 2024 · strength 0.88
  9. Hajra Arshad · 2 shared papers, 2026 · strength 0.67
  10. Alan Yuille · 6 shared papers, 2019–2021 · strength 0.65
  11. Emir A. Syailendra · 2 shared papers, 2025–2026 · strength 0.64
  12. Seyoun Park · 5 shared papers, 2019–2021 · strength 0.56
  13. Atif Zaheer · 4 shared papers, 2014–2026 · strength 0.54
  14. Jin Peng He · 4 shared papers, 2020–2024 · strength 0.52
  15. Bert Vogelstein · 4 shared papers, 2019–2023 · strength 0.43
  16. Kenneth W. Kinzler · 4 shared papers, 2019–2023 · strength 0.43
  17. Christopher Lee Wolfgang · 3 shared papers, 2021–2024 · strength 0.42
  18. Philippe A. Soyer · 1 shared paper, 2026 · strength 0.33
  19. Vikesh K. Singh · 2 shared papers, 2014–2026 · strength 0.30
  20. Zahra Yousefli · 1 shared paper, 2026 · strength 0.25
  21. Mahya Faghih · 1 shared paper, 2026 · strength 0.25
  22. Rubab F. Malik · 1 shared paper, 2026 · strength 0.25
  23. Richard Andrew Burkhart · 1 shared paper, 2026 · strength 0.25
  24. Jin He · 1 shared paper, 2026 · strength 0.25
  25. Elham Afghani · 1 shared paper, 2026 · strength 0.25

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.