Jeffrey I. Zwicker

8.7k total citations · 2 hit papers
134 papers, 5.5k citations indexed

About

Jeffrey I. Zwicker is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Jeffrey I. Zwicker has authored 134 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Internal Medicine, 38 papers in Cardiology and Cardiovascular Medicine and 36 papers in Hematology. Recurrent topics in Jeffrey I. Zwicker's work include Venous Thromboembolism Diagnosis and Management (81 papers), Blood Coagulation and Thrombosis Mechanisms (22 papers) and Atrial Fibrillation Management and Outcomes (21 papers). Jeffrey I. Zwicker is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (81 papers), Blood Coagulation and Thrombosis Mechanisms (22 papers) and Atrial Fibrillation Management and Outcomes (21 papers). Jeffrey I. Zwicker collaborates with scholars based in United States, Canada and United Kingdom. Jeffrey I. Zwicker's co-authors include Bruce Furie, Kenneth A. Bauer, Marc Carrier, Donna Neuberg, Barbara C. Furie, Alok A. Khorana, Rushad Patell, Howard A. Liebman, Tzu‐Fei Wang and Guy Meyer and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Jeffrey I. Zwicker

122 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Edoxaban for the Treatment of Cancer-Associated Venous Thromboembolism

2017 1.1k citations Marc Carrier, Tzu‐Fei Wang et al. profile →
Outcomes of patients with hematologic malignancies and COVID-19: a systematic review and meta-analysis of 3377 patients

2020 330 citations Jeffrey I. Zwicker, Rushad Patell et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey I. Zwicker United States	34	2.9k	1.9k	1.1k	881	846	134	5.5k
Elliot S. Barnathan United States	42	813 0.3×	2.1k 1.1×	1.3k 1.1×	131 0.1×	1.4k 1.7×	106	8.0k
Philippe de Moerloose Switzerland	52	1.7k 0.6×	1.2k 0.7×	3.2k 2.8×	215 0.2×	1.0k 1.2×	220	8.2k
Hannah Cohen United Kingdom	48	1.1k 0.4×	1.3k 0.7×	3.7k 3.3×	79 0.1×	1.3k 1.5×	195	9.4k
Jeroen Eikenboom Netherlands	49	1.4k 0.5×	1.8k 0.9×	5.4k 4.8×	58 0.1×	1.4k 1.6×	250	8.1k
Georg Endler Austria	34	477 0.2×	902 0.5×	793 0.7×	21 0.0×	530 0.6×	109	3.8k
Laura M. Dember United States	40	107 0.0×	465 0.2×	672 0.6×	1.4k 1.6×	902 1.1×	122	6.3k
Peter I. Bonta Netherlands	27	482 0.2×	196 0.1×	98 0.1×	60 0.1×	375 0.4×	115	3.1k
Bruce S. Sachais United States	32	354 0.1×	278 0.1×	1.3k 1.2×	21 0.0×	948 1.1×	91	3.3k
M. Wayne Flye United States	45	103 0.0×	679 0.4×	215 0.2×	171 0.2×	2.8k 3.3×	224	6.5k
John D. Roback United States	40	144 0.0×	270 0.1×	1.8k 1.5×	21 0.0×	584 0.7×	181	6.0k

Countries citing papers authored by Jeffrey I. Zwicker

Since Specialization

Citations

This map shows the geographic impact of Jeffrey I. Zwicker'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 Jeffrey I. Zwicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey I. Zwicker more than expected).

Fields of papers citing papers by Jeffrey I. Zwicker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey I. Zwicker. 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 Jeffrey I. Zwicker. The network helps show where Jeffrey I. Zwicker may publish in the future.

Co-authorship network of co-authors of Jeffrey I. Zwicker

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey I. Zwicker. A scholar is included among the top collaborators of Jeffrey I. Zwicker 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 Jeffrey I. Zwicker. Jeffrey I. Zwicker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Derkach, Andriy, et al.. (2025). Venous thromboembolism in patients with cancer and factor XI deficiency. Journal of Thrombosis and Haemostasis. 23(10). 3286–3294.

Derkach, Andriy, et al.. (2024). Venous Thromboembolism Incidence in Patients with Cancer and Factor XI Deficiency. Blood. 144(Supplement 1). 1261–1261.

Lam, Barbara D., Thita Chiasakul, Dimitra Karagkouni, et al.. (2024). Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis. Blood Advances. 8(12). 2991–3000. 11 indexed citations

Patell, Rushad, et al.. (2024). A meta-analysis to assess the risk of bleeding and thrombosis following chimeric antigen receptor T-cell therapy: Communication from the ISTH SSC Subcommittee on Hemostasis and Malignancy. Journal of Thrombosis and Haemostasis. 22(7). 2071–2080. 8 indexed citations

Lam, Barbara D., Rachel Rosovsky, Laura E. Dodge, et al.. (2024). Artificial intelligence meets venous thromboembolism: informaticians’ insights on diagnosis, prevention, and management. PubMed. 1(4). 100031–100031.

Patell, Rushad, et al.. (2023). Venous Thromboembolism in Total Hip and Total Knee Arthroplasty. JAMA Network Open. 6(12). e2345883–e2345883. 31 indexed citations

Lam, Barbara D., Laura E. Dodge, S. K. Datta, et al.. (2023). HTRS2023.P4.12 Perceptions on the potential for artificial intelligence to improve venous thromboembolism prevention. Research and Practice in Thrombosis and Haemostasis. 7. 100260–100260. 1 indexed citations

Ma, Si‐Rui, Rushad Patell, Eric J Miller, et al.. (2023). Antiplatelet medications and intracranial hemorrhage in patients with primary brain tumors. Journal of Thrombosis and Haemostasis. 21(5). 1148–1155. 6 indexed citations

Patell, Rushad, Christian Peters, Moua Yang, et al.. (2023). The unfolded protein response links ER stress to cancer-associated thrombosis. JCI Insight. 8(19). 5 indexed citations

10.

Shea, Meghan, et al.. (2023). Targeting thiol isomerase activity with zafirlukast to treat ovarian cancer from the bench to clinic. The FASEB Journal. 37(5). e22914–e22914. 4 indexed citations

11.

Sanfilippo, Kristen M., Tzu‐Fei Wang, Marc Carrier, et al.. (2022). Standardization of risk prediction model reporting in cancer‐associated thrombosis: Communication from the ISTH SSC subcommittee on hemostasis and malignancy. Journal of Thrombosis and Haemostasis. 20(8). 1920–1927. 4 indexed citations

12.

Miller, Eric J, Rushad Patell, Erik J. Uhlmann, et al.. (2022). Antiplatelet medications and risk of intracranial hemorrhage in patients with metastatic brain tumors. Blood Advances. 6(5). 1559–1565. 12 indexed citations

13.

Wang, Tzu‐Fei, Kristen M. Sanfilippo, James D. Douketis, et al.. (2022). Peri‐procedure management of antithrombotic agents and thrombocytopenia for common procedures in oncology: Guidance from the SSC of the ISTH. Journal of Thrombosis and Haemostasis. 20(12). 3026–3038. 7 indexed citations

14.

Sharda, Anish V., et al.. (2021). Circulating Protein Disulfide Isomerase Is Associated with Increased Risk of Thrombosis in JAK2 -Mutated Myeloproliferative Neoplasms. Clinical Cancer Research. 27(20). 5708–5717. 14 indexed citations

15.

Wang, Tzu‐Fei, Lisa Baumann Kreuziger, Avi Leader, et al.. (2021). Characteristics and outcomes of patients on concurrent direct oral anticoagulants and targeted anticancer therapies—TacDOAC registry: Communication from the ISTH SSC Subcommittee on Hemostasis and Malignancy. Journal of Thrombosis and Haemostasis. 19(8). 2068–2081. 25 indexed citations

16.

Wang, Tzu‐Fei, Siyang Ren, Manila Gaddh, et al.. (2021). Anticoagulation in cancer-associated thromboembolism with thrombocytopenia: a prospective, multicenter cohort study. Blood Advances. 5(24). 5546–5553. 32 indexed citations

17.

Zwicker, Jeffrey I., Tzu‐Fei Wang, Daniel J. DeAngelo, et al.. (2020). The prevention and management of asparaginase‐related venous thromboembolism in adults: Guidance from the SSC on Hemostasis and Malignancy of the ISTH. Journal of Thrombosis and Haemostasis. 18(2). 278–284. 27 indexed citations

18.

Leader, Avi, Eva N. Hamulyák, Ludo F.M. Beenen, et al.. (2020). Intracranial hemorrhage with direct oral anticoagulants in patients with brain metastases. Blood Advances. 4(24). 6291–6297. 33 indexed citations

19.

Wang, Tzu‐Fei, Robert S. Makar, Darko Antić, et al.. (2020). Management of hemostatic complications in acute leukemia: Guidance from the SSC of the ISTH. Journal of Thrombosis and Haemostasis. 18(12). 3174–3183. 19 indexed citations

20.

Zwicker, Jeffrey I., Howard A. Liebman, Donna Neuberg, et al.. (2009). Tumor-Derived Tissue FactorBearing Microparticles Are Associated With Venous Thromboembolic Events in Malignancy. Clinical Cancer Research. 15(22). 6830–6840. 400 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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