Pancreatic Cancer Research

ResearcherCedars-Sinai Medical CenterActive in the last 2 years

Debiao Li

Matched on ORCID iD 0000-0001-8560-8231; OpenAlex author ID A5101930940, A5111962323; NIH RePORTER profile ID 1862820. Sources: OpenAlex.

Their work

Papers
14 (first author 0, last author 7)
Trials
0
Grants
2
Labs led
1
Collaborators
63
Papers, trials and grants by year

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

Papers 14

  1. Early Detection of Pancreatic Cancer: Current Advances and Future Opportunities. Co-author DOI 10.3390/biomedicines13071733↗
  2. Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans. Last author DOI 10.3390/cancers17111886↗
  3. An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images. Last author DOI 10.3389/fonc.2024.1378691↗
  4. The Disproportionate Rise in Pancreatic Cancer in Younger Women Is Due to a Rise in Adenocarcinoma and Not Neuroendocrine Tumors: A Nationwide Time-Trend Analy… Co-author DOI 10.3390/cancers16050971↗
  5. Increasing Pancreatic Cancer Incidence in Young Women in the United States: A Population-Based Time-Trend Analysis, 2001-2018. Co-author DOI 10.1053/j.gastro.2023.01.022↗
  6. Pancreatic Cancer Incidence Trends by Race, Ethnicity, Age and Sex in the United States: A Population-Based Study, 2000-2018. Co-author DOI 10.3390/cancers15030870↗
  7. Chemical Exchange Saturation Transfer for Pancreatic Ductal Adenocarcinoma Evaluation. Last author DOI 10.1097/mpa.0000000000002059↗
  8. Artificial intelligence and imaging for risk prediction of pancreatic cancer: a narrative review. Last author DOI 10.21037/cco-21-117↗
  9. Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma. Last author DOI 10.3389/fonc.2022.1007134↗
  10. Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. Last author DOI 10.3389/fonc.2022.1007990↗
  11. Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review. Co-author DOI 10.1097/mpa.0000000000001762↗
  12. Six-dimensional quantitative DCE MR Multitasking of the entire abdomen: Method and application to pancreatic ductal adenocarcinoma. Last author DOI 10.1002/mrm.28167↗
  13. Early detection of pancreatic cancer. Co-author DOI 10.1016/s2468-1253(19)30416-9↗
  14. Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating-Based K-Space Sorting: Early Clinical Experience on Pancreatic C… Co-author DOI 10.1016/j.ijrobp.2015.08.028↗

Grants 2

  1. Fully Quantitative Low-Dose, Motion-Resolved Dynamic Contrast-Enhanced MRI in Pancreatic Adenocarcinoma R01EB032801↗
  2. Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images R01CA260955↗

Closest collaborators

The 25 strongest of 63 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Stephen Jacob Pandol · 13 shared papers, 1 shared grant, 2020–2025 · strength 2.78
  2. Anthony G Christodoulou · 3 shared papers, 1 shared grant, 2020–2026 · strength 1.64
  3. Srinivas Gaddam · 9 shared papers, 2020–2025 · strength 1.40
  4. Touseef Ahmad Qureshi · 5 shared papers, 2022–2025 · strength 1.02
  5. Lixia Wang · 6 shared papers, 2020–2025 · strength 0.93
  6. Temel Tirkes · 1 shared paper, 1 shared grant, 2025 · strength 0.91
  7. Simon K. Lo · 6 shared papers, 2020–2024 · strength 0.84
  8. Andrew Eugene Hendifar · 6 shared papers, 2020–2024 · strength 0.84
  9. Sehrish Javed · 4 shared papers, 2022–2025 · strength 0.76
  10. Cemal Yazici · 1 shared grant, 2025 · strength 0.73
  11. Jun Gong · 3 shared papers, 2023–2025 · strength 0.59
  12. Yazan Abboud · 3 shared papers, 2023–2024 · strength 0.47
  13. Nicholas N. Nissen · 3 shared papers, 2023–2024 · strength 0.47
  14. Arsen Osipov · 3 shared papers, 2023–2024 · strength 0.47
  15. Yi Jiang · 2 shared papers, 2024–2025 · strength 0.44
  16. Zhaoyang Fan · 4 shared papers, 2015–2022 · strength 0.42
  17. Christie Y. Jeon · 3 shared papers, 2020–2025 · strength 0.41
  18. Nan Wang · 3 shared papers, 2020–2022 · strength 0.37
  19. Brent K. Larson · 2 shared papers, 2023–2024 · strength 0.32
  20. Rabindra R. Watson · 2 shared papers, 2023 · strength 0.29
  21. Jamil S. Samaan · 2 shared papers, 2023 · strength 0.29
  22. Zijin Lin · 1 shared paper, 2025 · strength 0.26
  23. Vahid Yaghmai · 1 shared paper, 2025 · strength 0.18
  24. Camila Lopes Vendrami · 1 shared paper, 2025 · strength 0.18
  25. James Leonard Buxbaum · 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.