Rushad Patell

2.8k total citations · 1 hit paper
115 papers, 1.6k citations indexed

About

Rushad Patell is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Rushad Patell has authored 115 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Internal Medicine, 26 papers in Cardiology and Cardiovascular Medicine and 26 papers in Oncology. Recurrent topics in Rushad Patell's work include Venous Thromboembolism Diagnosis and Management (46 papers), Atrial Fibrillation Management and Outcomes (15 papers) and Antiplatelet Therapy and Cardiovascular Diseases (8 papers). Rushad Patell is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (46 papers), Atrial Fibrillation Management and Outcomes (15 papers) and Antiplatelet Therapy and Cardiovascular Diseases (8 papers). Rushad Patell collaborates with scholars based in United States, India and Thailand. Rushad Patell's co-authors include Jeffrey I. Zwicker, Alok A. Khorana, Lisa Rybicki, Anahita Dua, Matthew J. Eagleton, Christopher A. Latz, Poorva Bindal, Laura T. Boitano, Charles DeCarlo and Thita Chiasakul and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Rushad Patell

97 papers receiving 1.6k citations

Hit Papers

Outcomes of patients with... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rushad Patell 633 470 439 275 218 115 1.6k
Annemarie E. Fogerty 775 1.2× 262 0.6× 338 0.8× 105 0.4× 326 1.5× 26 1.3k
Tobias Tritschler 421 0.7× 235 0.5× 1.0k 2.3× 475 1.7× 205 0.9× 61 1.5k
Florian Moik 265 0.4× 585 1.2× 1.2k 2.7× 659 2.4× 257 1.2× 66 2.0k
Dimitrios Giannis 1.0k 1.6× 567 1.2× 467 1.1× 111 0.4× 468 2.1× 56 1.8k
Emanuele Valeriani 268 0.4× 167 0.4× 426 1.0× 257 0.9× 124 0.6× 54 1.1k
Corrado Lodigiani 1.4k 2.2× 556 1.2× 800 1.8× 428 1.6× 860 3.9× 58 2.4k
Pierpaolo Di Micco 402 0.6× 153 0.3× 1.0k 2.3× 842 3.1× 253 1.2× 144 1.9k
Charles Tacquard 1.5k 2.4× 553 1.2× 531 1.2× 128 0.5× 792 3.6× 52 2.3k
Laurent Sattler 1.7k 2.7× 623 1.3× 608 1.4× 127 0.5× 867 4.0× 39 2.2k
Paola Ferrazzi 1.2k 1.9× 487 1.0× 477 1.1× 133 0.5× 733 3.4× 14 1.6k

Countries citing papers authored by Rushad Patell

Since Specialization
Citations

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

Fields of papers citing papers by Rushad Patell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rushad Patell. 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 Rushad Patell. The network helps show where Rushad Patell may publish in the future.

Co-authorship network of co-authors of Rushad Patell

This figure shows the co-authorship network connecting the top 25 collaborators of Rushad Patell. A scholar is included among the top collaborators of Rushad Patell 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 Rushad Patell. Rushad Patell 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
1.
Derkach, Andriy, et al.. (2025). Venous thromboembolism in patients with cancer and factor XI deficiency. Journal of Thrombosis and Haemostasis. 23(10). 3286–3294.
3.
Patell, Rushad, Poorva Bindal, Jason A. Freed, et al.. (2025). A Multicenter Feasibility Study of a Novel Curriculum for Oncology Trainees Regarding Medical Cannabis. Journal of the National Comprehensive Cancer Network. 23(3). 82–89.
5.
Stafford, Katherine A., et al.. (2024). Adverse clinical outcomes associated with sickle cell trait at high altitude. Haematologica. 110(2). 504–506. 1 indexed citations
6.
Lam, Barbara D., et al.. (2024). From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management. Hämostaseologie. 44(6). 429–445. 3 indexed citations
7.
Jindal, Vishal, et al.. (2024). Romiplostim for chemotherapy induced thrombocytopenia in solid tumors: A meta-analysis.. Journal of Clinical Oncology. 42(16_suppl). e24137–e24137.
8.
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
9.
Patell, Rushad, et al.. (2024). Palliative Medicine Fellows’ Discussions, Perceptions, and Training Regarding Medical Cannabis. Journal of Pain and Symptom Management. 67(6). 471–477.e6. 1 indexed citations
10.
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.
11.
Lam, Barbara D., W. Robertson, Rachel Rosovsky, et al.. (2023). Artificial intelligence for venous thromboembolism prophylaxis: Clinician perspectives. Research and Practice in Thrombosis and Haemostasis. 7(8). 102272–102272. 1 indexed citations
12.
Patell, Rushad, et al.. (2023). Venous Thromboembolism in Total Hip and Total Knee Arthroplasty. JAMA Network Open. 6(12). e2345883–e2345883. 31 indexed citations
13.
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
14.
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
15.
Chiasakul, Thita, et al.. (2023). Comparison of direct oral anticoagulants versus low-molecular-weight heparin in primary and metastatic brain cancers: a meta-analysis and systematic review. Journal of Thrombosis and Haemostasis. 22(2). 423–429. 8 indexed citations
16.
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
17.
DeCarlo, Charles, Christopher A. Latz, Laura T. Boitano, et al.. (2021). Prognostication of Asymptomatic Penetrating Aortic Ulcers: A Modern Approach. Circulation. 144(14). 1091–1101. 15 indexed citations
18.
Latz, Christopher A., Charles DeCarlo, Laura T. Boitano, et al.. (2020). Blood type and outcomes in patients with COVID-19. Annals of Hematology. 99(9). 2113–2118. 213 indexed citations
19.
Patell, Rushad, Thomas Bogue, Anita G. Koshy, et al.. (2020). Postdischarge thrombosis and hemorrhage in patients with COVID-19. Blood. 136(11). 1342–1346. 171 indexed citations
20.
Patell, Rushad, et al.. (2018). Assessing the utility of preoperative serum thyroglobulin in differentiated thyroid cancer: a retrospective cohort study. Endocrine. 61(3). 506–510. 17 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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