Pancreatic Cancer Research

ResearcherJohns Hopkins UniversityActive in the last 2 years

Xin Li

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-8328-4894; OpenAlex author ID A5100353748. Sources: OpenAlex.

Their work

Papers
11 (first author 4, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
30
Papers, trials and grants by year

2017: 1 paper · 2018: none · 2019: none · 2020: none · 2021: 1 paper · 2022: 2 papers · 2023: 5 papers · 2024: none · 2025: 2 papers

Papers 11

  1. Single-Cell Transcriptomic Analysis Identifies a Novel OLR1+ SLC7A7+ Liver-Enriched Metastatic Subset With Immunometabolic Rewiring in Pancreatic Cancer. Co-author DOI 10.1002/cam4.71345↗
  2. Reprogramming of glucose metabolism in pancreatic cancer: mechanisms, implications, and therapeutic perspectives. Co-author DOI 10.3389/fimmu.2025.1586959↗
  3. Integrated transcriptomics, proteomics and metabolomics-based analysis uncover TAM2-associated glycolysis and pyruvate metabolic remodeling in pancreatic cance… Co-author DOI 10.3389/fimmu.2023.1170223↗
  4. The Global, Regional and National Burden of Pancreatic Cancer Attributable to Smoking, 1990 to 2019: A Systematic Analysis from the Global Burden of Disease St… Co-author DOI 10.3390/ijerph20021552↗
  5. Nomograms for Predicting the Risk and Prognosis of Liver Metastases in Pancreatic Cancer: A Population-Based Analysis. First author DOI 10.3390/jpm13030409↗
  6. Immunocyte Infiltration Analysis and Immunohistochemistry Identify EVL as a Potential Prognostic Biomarker for Pancreatic Cancer. Co-author DOI 10.3390/jpm13030433↗
  7. Pan‑cancer analysis identified ARHGAP23 as a potential biomarker for pancreatic adenocarcinoma. First author DOI 10.3892/mco.2023.2696↗
  8. Glucose metabolism and tumour microenvironment in pancreatic cancer: A key link in cancer progression. Co-author DOI 10.3389/fimmu.2022.1038650↗
  9. STAT3 Inhibitors: A Novel Insight for Anticancer Therapy of Pancreatic Cancer. Co-author DOI 10.3390/biom12101450↗
  10. Current understanding of ferroptosis in the progression and treatment of pancreatic cancer. First author DOI 10.1186/s12935-021-02166-6↗
  11. Epigenomic reprogramming during pancreatic cancer progression links anabolic glucose metabolism to distant metastasis. First author DOI 10.1038/ng.3753↗

Closest collaborators

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

  1. Wenkai Jiang · 5 shared papers, 2022–2023 · strength 1.03
  2. Wence Zhou · 5 shared papers, 2021–2023 · strength 0.94
  3. Shi Dong · 5 shared papers, 2021–2023 · strength 0.90
  4. Huaqing Shi · 3 shared papers, 2022–2023 · strength 0.58
  5. Yan Du · 2 shared papers, 2023 · strength 0.46
  6. Wence Zhou · 2 shared papers, 2023 · strength 0.42
  7. Zhou Chen · 2 shared papers, 2021–2023 · strength 0.38
  8. Ru He · 2 shared papers, 2022–2023 · strength 0.36
  9. Zeyang Fan · 1 shared paper, 2025 · strength 0.30
  10. Jubao Niu · 1 shared paper, 2025 · strength 0.30
  11. Yan Zhang · 1 shared paper, 2025 · strength 0.30
  12. Hui Zhang · 1 shared paper, 2025 · strength 0.30
  13. Xuan Yang · 1 shared paper, 2025 · strength 0.23
  14. Yan Gu · 1 shared paper, 2025 · strength 0.23
  15. Pengxian Tao · 1 shared paper, 2023 · strength 0.20
  16. Yulan Li · 1 shared paper, 2023 · strength 0.20
  17. Xiaolong Liu · 1 shared paper, 2023 · strength 0.20
  18. Weixiong Zhu · 1 shared paper, 2022 · strength 0.19
  19. Hui Zhang · 1 shared paper, 2023 · strength 0.18
  20. Hui Tang · 1 shared paper, 2023 · strength 0.18
  21. Wenkai Jiang · 1 shared paper, 2021 · strength 0.17
  22. Zhengfeng Wang · 1 shared paper, 2022 · strength 0.16
  23. Alvin P. Makohon-Moore · 1 shared paper, 2017 · strength 0.05
  24. Oliver Gene McDonald · 1 shared paper, 2017 · strength 0.05
  25. Andrew P. Feinberg · 1 shared paper, 2017 · strength 0.05

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.