Pancreatic Cancer Research

ResearcherHeidelberg UniversityActive in the last 2 years

Ulrike Heger

Matched on ORCID iD 0000-0002-1812-8040; OpenAlex author ID A5078160124. Sources: OpenAlex.

Their work

Papers
10 (first author 0, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
30
Papers, trials and grants by year

2019: 2 papers · 2020: 1 paper · 2021: 4 papers · 2022: none · 2023: 2 papers · 2024: none · 2025: none · 2026: 1 paper

Papers 10

  1. Blood-based prediction and early detection of pancreatic cancer recurrence after tumor resection Last author DOI 10.20892/j.issn.2095-3941.2025.0495↗
  2. Persister cell phenotypes contribute to poor patient outcomes after neoadjuvant chemotherapy in PDAC. Co-author DOI 10.1038/s43018-023-00628-6↗
  3. Induction Chemotherapy with FOLFIRINOX for Locally Advanced Pancreatic Cancer: A Simple Scoring System to Predict Effect and Prognosis. Co-author DOI 10.1245/s10434-022-12569-y↗
  4. Open irreversible electroporation for isolated local recurrence of pancreatic ductal adenocarcinoma after primary surgery. Co-author DOI 10.1016/j.pan.2021.08.002↗
  5. Prognostic Factors of Survival After Neoadjuvant Treatment and Resection for Initially Unresectable Pancreatic Cancer. Co-author DOI 10.1097/sla.0000000000003270↗
  6. Can local ablative techniques replace surgery for locally advanced pancreatic cancer? Co-author DOI 10.21037/jgo-20-379↗
  7. Survival Benefit of Resection Surgery for Pancreatic Ductal Adenocarcinoma with Liver Metastases: A Propensity Score-Matched SEER Database Analysis. Co-author DOI 10.3390/cancers14010057↗
  8. Induction chemotherapy in pancreatic cancer: CA 19-9 may predict resectability and survival. Co-author DOI 10.1016/j.hpb.2019.06.012↗
  9. Meta-analysis of recurrence pattern after resection for pancreatic cancer. Co-author DOI 10.1002/bjs.11295↗
  10. CT response of primary tumor and CA19-9 predict resectability of metastasized pancreatic cancer after FOLFIRINOX. Co-author DOI 10.1016/j.ejso.2019.03.039↗

Closest collaborators

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

  1. Thilo Hackert · 10 shared papers, 2019–2026 · strength 1.56
  2. Markus Wolfgang Büchler · 7 shared papers, 2019–2026 · strength 1.00
  3. Ulla Klaiber · 5 shared papers, 2019–2023 · strength 0.63
  4. André L. Mihaljević · 4 shared papers, 2019–2023 · strength 0.52
  5. Masayuki Tanaka · 4 shared papers, 2019–2023 · strength 0.50
  6. Max Heckler · 3 shared papers, 2019–2023 · strength 0.40
  7. Shigenori Ei · 2 shared papers, 2023 · strength 0.32
  8. Thomas Moritz Pausch · 2 shared papers, 2021 · strength 0.27
  9. John P. Neoptolemos · 2 shared papers, 2021–2023 · strength 0.25
  10. Oliver Strobel · 2 shared papers, 2021–2023 · strength 0.25
  11. Mohamed Saiel Saeed Alhamdani · 1 shared paper, 2026 · strength 0.25
  12. Fawaz N. Al-Shaheri · 1 shared paper, 2026 · strength 0.25
  13. Andrea S. Bauer · 1 shared paper, 2026 · strength 0.25
  14. Miriam Schenk · 1 shared paper, 2026 · strength 0.25
  15. Jörg D. Hoheisel · 1 shared paper, 2026 · strength 0.25
  16. Pascal Probst · 2 shared papers, 2019–2021 · strength 0.23
  17. Christoph Springfeld · 2 shared papers, 2020–2023 · strength 0.23
  18. Jishu Wei · 1 shared paper, 2021 · strength 0.13
  19. Yi Miao · 1 shared paper, 2021 · strength 0.13
  20. Xinchun Liu · 1 shared paper, 2021 · strength 0.13
  21. Nicolas Hohmann · 1 shared paper, 2023 · strength 0.13
  22. Peter J. Bailey · 1 shared paper, 2023 · strength 0.13
  23. Jingyu An · 1 shared paper, 2023 · strength 0.13
  24. Franco Fortunato · 1 shared paper, 2023 · strength 0.13
  25. Simon T. Barry · 1 shared paper, 2023 · strength 0.13

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.