Pancreatic Cancer Research

ResearcherOrcidActive in the last 2 years

Yuk Ting Ma

Matched on ORCID iD 0000-0001-7830-6091; OpenAlex author ID A5063557693. Sources: OpenAlex.

Their work

Papers
9
Trials
0
Grants
0
Labs led
0
Collaborators
54
Papers, trials and grants by year

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

Papers 9

  1. Pancreatic Adenocarcinoma: Long-Term Outcomes of Adjuvant Therapy in the ESPAC4 Phase III Trial. Co-author DOI 10.1200/jco.24.01118↗
  2. Immediate surgery compared with short-course neoadjuvant gemcitabine plus capecitabine, FOLFIRINOX, or chemoradiotherapy in patients with borderline resectable… Co-author DOI 10.1016/s2468-1253(22)00348-x↗
  3. Intention to treat outcomes among patients with pancreatic cancer treated using International Study Group on Pancreatic Surgery recommended pathways for resect… Co-author DOI 10.1111/ans.16643↗
  4. Treatment Strategies for the Optimal Management of Locally Advanced Pancreatic Adenocarcinoma With Curative Intent: A Systematic Review. Co-author DOI 10.1097/mpa.0000000000001694↗
  5. Patterns of Recurrence After Resection of Pancreatic Ductal Adenocarcinoma: A Secondary Analysis of the ESPAC-4 Randomized Adjuvant Chemotherapy Trial. Co-author DOI 10.1001/jamasurg.2019.3337↗
  6. Impact of intensified chemotherapy in metastatic pancreatic ductal adenocarcinoma (PDAC) in clinical routine in Europe. Co-author DOI 10.1016/j.pan.2018.10.003↗
  7. Gemcitabine-Induced Cardiotoxicity in Patients Receiving Adjuvant Chemotherapy for Pancreatic Cancer: A Case Series. Co-author DOI 10.1159/000488139↗
  8. Comparison of adjuvant gemcitabine and capecitabine with gemcitabine monotherapy in patients with resected pancreatic cancer (ESPAC-4): a multicentre, open-lab… Co-author DOI 10.1016/s0140-6736(16)32409-6↗
  9. Use of a genome-wide haploid genetic screen to identify treatment predicting factors: a proof-of-principle study in pancreatic cancer. Co-author DOI 10.18632/oncotarget.18879↗

Closest collaborators

The 25 strongest of 54 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Daniel H. Palmer · 6 shared papers, 2017–2025 · strength 0.54
  2. Juan W. Valle · 5 shared papers, 2017–2025 · strength 0.46
  3. Paula Ghaneh · 4 shared papers, 2017–2025 · strength 0.39
  4. Paul J. Ross · 4 shared papers, 2017–2025 · strength 0.39
  5. Thilo Hackert · 4 shared papers, 2017–2025 · strength 0.39
  6. John P. Neoptolemos · 4 shared papers, 2017–2025 · strength 0.39
  7. David Cunningham · 4 shared papers, 2017–2025 · strength 0.39
  8. Harpreet Singh Wasan · 4 shared papers, 2017–2025 · strength 0.39
  9. Christopher Michael Halloran · 4 shared papers, 2017–2025 · strength 0.39
  10. Keith John Roberts · 3 shared papers, 2020–2023 · strength 0.35
  11. Christoph Springfeld · 2 shared papers, 2023–2025 · strength 0.29
  12. Gary Middleton · 3 shared papers, 2017–2025 · strength 0.27
  13. Olusola Olusesan Faluyi · 3 shared papers, 2017–2025 · strength 0.27
  14. Bengt L. G. Glimelius · 3 shared papers, 2017–2025 · strength 0.27
  15. Tim Meyer · 3 shared papers, 2017–2025 · strength 0.27
  16. Pascal R. Hammel · 3 shared papers, 2017–2025 · strength 0.27
  17. Nikolaos A. Chatzizacharias · 2 shared papers, 2020–2021 · strength 0.23
  18. Pankaj Punia · 2 shared papers, 2018–2021 · strength 0.23
  19. Markus Wolfgang Büchler · 3 shared papers, 2017–2023 · strength 0.22
  20. Derek A O'Reilly · 3 shared papers, 2017–2023 · strength 0.22
  21. Salma Moona Alam · 2 shared papers, 2018–2019 · strength 0.19
  22. Peter J. Bailey · 1 shared paper, 2025 · strength 0.17
  23. Christoph W. Michalski · 1 shared paper, 2025 · strength 0.17
  24. Joseph Anthony Attard · 1 shared paper, 2020 · strength 0.12
  25. Iain Stephen Tait · 1 shared paper, 2023 · strength 0.12

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.