Pancreatic Cancer Research

ResearcherHenry Ford Health + Michigan State University Health SciencesActive in the last 2 years

Ling Huang

Matched on ORCID iD 0000-0001-8855-788X; OpenAlex author ID A5049287519, A5101813315. Sources: OpenAlex.

Their work

Papers
10 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
47
Papers, trials and grants by year

2013: 1 paper · 2014: none · 2015: 1 paper · 2016: none · 2017: none · 2018: 1 paper · 2019: none · 2020: 1 paper · 2021: none · 2022: 1 paper · 2023: 1 paper · 2024: 2 papers · 2025: 1 paper · 2026: 1 paper

Papers 10

  1. Spatial Transcriptomics on a Diverse Pancreatic Cancer Cohort Reveals Race-Related Differences in Tumor Subtypes and Immune Microenvironments. Co-author DOI 10.1158/0008-5472.can-25-2748↗
  2. Human Pancreatic Cancer Single-Cell Atlas Reveals Association of CXCL10+ Fibroblasts and Basal Subtype Tumor Cells. Co-author DOI 10.1158/1078-0432.ccr-24-2183↗
  3. A large-scale proteomics resource of circulating extracellular vesicles for biomarker discovery in pancreatic cancer. Co-author DOI 10.7554/elife.87369↗
  4. A large-scale proteomics resource of circulating extracellular vesicles for biomarker discovery in pancreatic cancer Co-author DOI 10.7554/elife.87369.3↗
  5. Personalized tumor vaccine for pancreatic cancer. First author DOI 10.1007/s00262-022-03237-x↗
  6. Organoid Sensitivity Correlates with Therapeutic Response in Patients with Pancreatic Cancer. Co-author DOI 10.1158/1078-0432.ccr-20-4116↗
  7. Discovery of New Targets to Control Metastasis in Pancreatic Cancer by Single-cell Transcriptomics Analysis of Circulating Tumor Cells. Co-author DOI 10.1158/1535-7163.mct-19-1166↗
  8. Personalized RNA Medicine for Pancreatic Cancer. Co-author DOI 10.1158/1078-0432.ccr-17-2733↗
  9. Ductal pancreatic cancer modeling and drug screening using human pluripotent stem cell- and patient-derived tumor organoids. Co-author DOI 10.1038/nm.3973↗
  10. Belinostat-induced apoptosis and growth inhibition in pancreatic cancer cells involve activation of TAK1-AMPK signaling axis. Co-author DOI 10.1016/j.bbrc.2013.05.090↗

Closest collaborators

The 25 strongest of 47 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Senthil K. Muthuswamy · 7 shared papers, 2015–2024 · strength 0.80
  2. Bruno Bockorny · 4 shared papers, 2020–2024 · strength 0.54
  3. Andrea J. Bullock · 3 shared papers, 2022–2024 · strength 0.45
  4. Joseph Elan Grossman · 3 shared papers, 2022–2024 · strength 0.45
  5. Leo L. Tsai · 3 shared papers, 2022–2024 · strength 0.45
  6. Mandeep Sawhney · 3 shared papers, 2022–2024 · strength 0.45
  7. Manuel M. Hidalgo · 4 shared papers, 2018–2023 · strength 0.43
  8. Howard C. Crawford · 3 shared papers, 2015–2026 · strength 0.42
  9. Nina G. Steele · 2 shared papers, 2025–2026 · strength 0.38
  10. Daniel James Salas-Escabillas · 2 shared papers, 2025–2026 · strength 0.38
  11. Debora Barbosa Vendramini Costa · 2 shared papers, 2025–2026 · strength 0.38
  12. Ralph A. Francescone III · 2 shared papers, 2025–2026 · strength 0.38
  13. Ian M. Loveless · 2 shared papers, 2025–2026 · strength 0.38
  14. David Kwon · 2 shared papers, 2025–2026 · strength 0.38
  15. Yuesong Wu · 2 shared papers, 2025–2026 · strength 0.38
  16. Kailee M. Hartway · 2 shared papers, 2025–2026 · strength 0.38
  17. Steven D. Freedman · 2 shared papers, 2024 · strength 0.33
  18. Bin Chen · 1 shared paper, 2026 · strength 0.21
  19. Samantha B. Kemp · 1 shared paper, 2025 · strength 0.17
  20. Jacob T. Mitchell · 1 shared paper, 2025 · strength 0.17
  21. Elana Judith Fertig · 1 shared paper, 2025 · strength 0.17
  22. Luciane Tsukamoto Kagohara · 1 shared paper, 2025 · strength 0.17
  23. Ben Z. Stanger · 1 shared paper, 2025 · strength 0.17
  24. Andrew M. Waters · 1 shared paper, 2025 · strength 0.17
  25. Shira Orr · 1 shared paper, 2023 · strength 0.15

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.