Pancreatic Cancer Research

ResearcherMedical College of WisconsinNo recent work listed

Ashley N. Krepline

Matched on ORCID iD 0000-0002-5185-3244; OpenAlex author ID A5074903501. Sources: OpenAlex.

Their work

Papers
12 (first author 3, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
22
Papers, trials and grants by year

2014: 1 paper · 2015: 2 papers · 2016: 1 paper · 2017: 2 papers · 2018: none · 2019: 1 paper · 2020: 3 papers · 2021: 2 papers

Papers 12

  1. Adjuvant therapy rates and overall survival in patients with localized pancreatic cancer from high Area Deprivation Index neighborhoods. First author DOI 10.1016/j.amjsurg.2020.12.001↗
  2. Cost-effectiveness analysis of universal germline testing for patients with pancreatic cancer. Co-author DOI 10.1016/j.surg.2020.06.038↗
  3. Role of Molecular Profiling of Pancreatic Cancer After Neoadjuvant Therapy: Does it Change Practice? Co-author DOI 10.1007/s11605-019-04423-6↗
  4. Detection of germline variants using expanded multigene panels in patients with localized pancreatic cancer. Co-author DOI 10.1016/j.hpb.2020.03.022↗
  5. Importance of Normalization of CA19-9 Levels Following Neoadjuvant Therapy in Patients With Localized Pancreatic Cancer. Co-author DOI 10.1097/sla.0000000000003049↗
  6. Has Personalized Medicine for Pancreatic Cancer Arrived? Co-author DOI 10.1016/j.yasu.2019.04.006↗
  7. Poor Glycemic Control Is Associated with Failure to Complete Neoadjuvant Therapy and Surgery in Patients with Localized Pancreatic Cancer. Co-author DOI 10.1007/s11605-016-3319-4↗
  8. Is Adjuvant Therapy Necessary for All Patients with Localized Pancreatic Cancer Who Have Received Neoadjuvant Therapy? First author DOI 10.1007/s11605-017-3544-5↗
  9. Venous thromboembolism prophylaxis during neoadjuvant therapy for resectable and borderline resectable pancreatic cancer-Is it indicated? Co-author DOI 10.1002/jso.24361↗
  10. Use of neoadjuvant therapy in patients 75 years of age and older with pancreatic cancer. First author DOI 10.1016/j.surg.2015.06.017↗
  11. Pre-treatment carbohydrate antigen 19-9 does not predict the response to neoadjuvant therapy in patients with localized pancreatic cancer. Co-author DOI 10.1111/hpb.12448↗
  12. Patency rates of portal vein/superior mesenteric vein reconstruction after pancreatectomy for pancreatic cancer. Co-author DOI 10.1007/s11605-014-2635-9↗

Closest collaborators

The 22 strongest of 22 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Susan Tsai · 12 shared papers, 2014–2021 · strength 1.08
  2. Bradley A. Erickson · 11 shared papers, 2014–2021 · strength 0.88
  3. Douglas B. Evans · 11 shared papers, 2014–2021 · strength 0.88
  4. Ben George · 10 shared papers, 2014–2021 · strength 0.81
  5. Kathleen K. Christians · 10 shared papers, 2014–2021 · strength 0.75
  6. William Adrian Hall · 6 shared papers, 2017–2021 · strength 0.61
  7. Mohammed Aldakkak · 5 shared papers, 2015–2021 · strength 0.40
  8. Callisia Nathelee Clarke · 2 shared papers, 2017–2020 · strength 0.16
  9. Chad A. Barnes · 2 shared papers, 2017–2020 · strength 0.16
  10. Fabian Mc. Johnston · 3 shared papers, 2014–2015 · strength 0.14
  11. Javier Mora · 1 shared paper, 2021 · strength 0.13
  12. Naveen M. Kulkarni · 1 shared paper, 2021 · strength 0.13
  13. Rebecca Y. Kim · 1 shared paper, 2021 · strength 0.12
  14. Mandana Kamgar · 1 shared paper, 2021 · strength 0.12
  15. Lindsay A. Bliss · 1 shared paper, 2020 · strength 0.11
  16. D. Wittmann · 1 shared paper, 2020 · strength 0.10
  17. Catherine E. Hagen · 1 shared paper, 2020 · strength 0.10
  18. Kulwinder S. Dua · 1 shared paper, 2020 · strength 0.10
  19. Eunice S. Paul Rajamanickam · 1 shared paper, 2017 · strength 0.06
  20. Parag P. Tolat · 1 shared paper, 2016 · strength 0.06
  21. John Thomas Miura · 1 shared paper, 2015 · strength 0.05
  22. Kiran Kalyan Turaga · 1 shared paper, 2014 · strength 0.04

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.