Ali Zarrinpar

6.3k total citations · 2 hit papers
105 papers, 4.4k citations indexed

About

Ali Zarrinpar is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Ali Zarrinpar has authored 105 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Surgery, 50 papers in Hepatology and 29 papers in Epidemiology. Recurrent topics in Ali Zarrinpar's work include Organ Transplantation Techniques and Outcomes (40 papers), Liver Disease and Transplantation (36 papers) and Renal Transplantation Outcomes and Treatments (23 papers). Ali Zarrinpar is often cited by papers focused on Organ Transplantation Techniques and Outcomes (40 papers), Liver Disease and Transplantation (36 papers) and Renal Transplantation Outcomes and Treatments (23 papers). Ali Zarrinpar collaborates with scholars based in United States, Belgium and Lebanon. Ali Zarrinpar's co-authors include Wendell A. Lim, Ronald W. Busuttil, Jonathan R. Hiatt, Sanghyun Park, Roby P. Bhattacharyya, Vatche G. Agopian, Fady M. Kaldas, Douglas G. Farmer, Elizabeth Lancaster and Hasan Yersiz and has published in prestigious journals such as Nature, Science and Nature Medicine.

In The Last Decade

Ali Zarrinpar

98 papers receiving 4.3k citations

Hit Papers

Enabling Technologies for Personalized and Precision Medi... 2020 2026 2022 2024 2020 2023 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Zarrinpar United States 33 1.5k 1.5k 1.4k 1.0k 428 105 4.4k
Mamatha Bhat Canada 31 1.3k 0.9× 1.1k 0.7× 1.2k 0.8× 1.1k 1.1× 318 0.7× 173 3.6k
Toshimasa Asahara Japan 45 2.0k 1.3× 2.4k 1.6× 1.9k 1.3× 1.1k 1.1× 1.1k 2.7× 274 6.4k
Hartmut Schmidt Germany 46 1.1k 0.8× 3.8k 2.5× 1.7k 1.2× 1.6k 1.6× 1.2k 2.8× 360 9.2k
Uta Dahmen Germany 30 900 0.6× 637 0.4× 957 0.7× 1.0k 1.0× 215 0.5× 190 3.1k
Hong‐Shiee Lai Taiwan 42 909 0.6× 1.1k 0.8× 2.4k 1.7× 674 0.7× 1.4k 3.2× 266 5.6k
John Plevris United Kingdom 38 1.2k 0.8× 411 0.3× 2.0k 1.4× 1.1k 1.1× 363 0.8× 186 4.1k
Daniel Q. Huang Singapore 35 2.8k 1.8× 1.0k 0.7× 748 0.5× 4.8k 4.8× 591 1.4× 180 7.1k
Frank Dombrowski Germany 42 967 0.6× 2.8k 1.9× 1.4k 1.0× 1.2k 1.2× 1.0k 2.4× 157 5.9k
Christine Sempoux Belgium 52 2.7k 1.8× 1.8k 1.2× 4.4k 3.1× 2.8k 2.7× 2.6k 6.1× 314 9.9k
Syed A. Hussain United Kingdom 37 374 0.2× 1.4k 0.9× 2.4k 1.7× 502 0.5× 1.4k 3.4× 231 5.4k

Countries citing papers authored by Ali Zarrinpar

Since Specialization
Citations

This map shows the geographic impact of Ali Zarrinpar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ali Zarrinpar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Zarrinpar more than expected).

Fields of papers citing papers by Ali Zarrinpar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Zarrinpar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ali Zarrinpar. The network helps show where Ali Zarrinpar may publish in the future.

Co-authorship network of co-authors of Ali Zarrinpar

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Zarrinpar. A scholar is included among the top collaborators of Ali Zarrinpar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ali Zarrinpar. Ali Zarrinpar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Zarrinpar, Ali, et al.. (2024). Immune checkpoint inhibitors in the posttransplant landscape of HCC: A systematic literature review. Liver Transplantation. 32(2). 283–295. 4 indexed citations
4.
Huo, Zhiguang, Virginia Clark, Thiago Beduschi, et al.. (2024). Sirtuin3 promotes the degradation of hepatic Z alpha-1 antitrypsin through lipophagy. Hepatology Communications. 8(2). 2 indexed citations
5.
Machado, Ana Carolina Dantas, Stephany Flores Ramos, Julia M. Gauglitz, et al.. (2023). Portosystemic shunt placement reveals blood signatures for the development of hepatic encephalopathy through mass spectrometry. Nature Communications. 14(1). 5303–5303. 10 indexed citations
6.
Jansen, Caroline S., et al.. (2023). Physician–scientist trainees with parenting responsibilities need financial and childcare support. Nature Medicine. 29(12). 2990–2992. 2 indexed citations
7.
Duarte, Sérgio Nascimento, et al.. (2023). Current Trends in Surgical Management of Hepatocellular Carcinoma. Cancers. 15(22). 5378–5378. 15 indexed citations
8.
Özer, Muhammet, Rüveyda Ayasun, Jesus C. Fabregas, et al.. (2023). Effects of Clinical and Tumor Characteristics on Survival in Patients with Hepatocellular Carcinoma with Bone Metastasis. Journal of Hepatocellular Carcinoma. Volume 10. 1129–1141. 4 indexed citations
9.
Moore, Helen, et al.. (2023). Quantitative methods for optimizing patient outcomes in liver transplantation. Liver Transplantation. 30(3). 311–320. 3 indexed citations
10.
Duarte, Sergio, et al.. (2023). Methylated ctDNA Quantification: Noninvasive Approach to Monitoring Hepatocellular Carcinoma Burden. Journal of the American College of Surgeons. 238(4). 770–778. 11 indexed citations
11.
Gulbahce, Natali, et al.. (2021). High levels of donor-derived cell-free DNA in a case of graft-versus-host-disease following liver transplantation. American Journal of Transplantation. 22(3). 973–976. 10 indexed citations
12.
Sosa, Rebecca A., Fady M. Kaldas, Yiping Jin, et al.. (2020). Disulfide High‐Mobility Group Box 1 Drives Ischemia‐Reperfusion Injury in Human Liver Transplantation. Hepatology. 73(3). 1158–1175. 51 indexed citations
13.
Schaub, Franz X., et al.. (2020). Tumor-Derived Organoid Culture For Functional Personalized Oncology In Cholangiocarcinoma. HPB. 22. S26–S27. 1 indexed citations
14.
Kageyama, Shoichi, Kojiro Nakamura, Takehiro Fujii, et al.. (2018). Recombinant relaxin protects liver transplants from ischemia damage by hepatocyte glucocorticoid receptor. Hepatology. 68(1). 258–273. 43 indexed citations
15.
Palumbo, Tiziana, Kojiro Nakamura, Charles Lassman, et al.. (2016). Bruton Tyrosine Kinase Inhibition Attenuates Liver Damage in a Mouse Warm Ischemia and Reperfusion Model. Transplantation. 101(2). 322–331. 27 indexed citations
16.
DiNorcia, Joseph, Minna K. Lee, Michael P. Harlander‐Locke, et al.. (2015). Damage Control as a Strategy to Manage Postreperfusion Hemodynamic Instability and Coagulopathy in Liver Transplant. JAMA Surgery. 150(11). 1066–1066. 20 indexed citations
17.
Buzzanco, Anthony S., Angela C. Gomez, B.A. French, et al.. (2014). Digital quantitation of HCC-associated stem cell markers and protein quality control factors using tissue arrays of human liver sections. Experimental and Molecular Pathology. 97(3). 399–410. 6 indexed citations
18.
Agopian, Vatche G., Michael P. Harlander‐Locke, Ali Zarrinpar, et al.. (2014). A Novel Prognostic Nomogram Accurately Predicts Hepatocellular Carcinoma Recurrence after Liver Transplantation: Analysis of 865 Consecutive Liver Transplant Recipients. Journal of the American College of Surgeons. 220(4). 416–427. 188 indexed citations
19.
Zarrinpar, Ali & Johnny C. Hong. (2012). What is the Prognosis After Retransplantation of the Liver?. Advances in Surgery. 46(1). 87–100. 23 indexed citations
20.
Zarrinpar, Ali, Douglas G. Farmer, R. Mark Ghobrial, et al.. (2007). Liver Transplantation for HELLP Syndrome. The American Surgeon. 73(10). 1013–1016. 35 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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