Usha Perepu

1.0k total citations · 1 hit paper
17 papers, 579 citations indexed

About

Usha Perepu is a scholar working on Internal Medicine, Surgery and Oncology. According to data from OpenAlex, Usha Perepu has authored 17 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Internal Medicine, 6 papers in Surgery and 5 papers in Oncology. Recurrent topics in Usha Perepu's work include Venous Thromboembolism Diagnosis and Management (9 papers), Lymphoma Diagnosis and Treatment (4 papers) and Viral-associated cancers and disorders (3 papers). Usha Perepu is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (9 papers), Lymphoma Diagnosis and Treatment (4 papers) and Viral-associated cancers and disorders (3 papers). Usha Perepu collaborates with scholars based in United States. Usha Perepu's co-authors include Stanislav Henkin, Charles L. Loprinzi, Alfonso Tafur, Robert D. McBane, Krishna Gundabolu, Jennifer Le‐Rademacher, Aneel A. Ashrani, Waldemar E. Wysokiński, Charles Kuzma and Daniel M. Anderson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Medicine.

In The Last Decade

Usha Perepu

16 papers receiving 571 citations

Hit Papers

Apixaban and dalteparin in active malignancy‐associated v... 2019 2026 2021 2023 2019 100 200 300
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.

  1. Apixaban and dalteparin in active malignancy‐associated venous thromboembolism: The ADAM VTE trial
    2019 375 citations Robert D. McBane, Waldemar E. Wysokiński et al. Journal of Thrombosis and Haemostasis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usha Perepu United States 7 473 345 158 92 87 17 579
Barry Kevane Ireland 15 220 0.5× 138 0.4× 23 0.1× 71 0.8× 130 1.5× 56 614
Charles J. Lenz United States 14 626 1.3× 538 1.6× 212 1.3× 262 2.8× 7 0.1× 23 856
Enric Montserrat Spain 9 204 0.4× 103 0.3× 87 0.6× 153 1.7× 39 0.4× 13 413
Yvonne M. Ende-Verhaar Netherlands 14 573 1.2× 422 1.2× 36 0.2× 69 0.8× 19 0.2× 19 742
Hun-Gyu Hwang South Korea 12 312 0.7× 344 1.0× 33 0.2× 107 1.2× 8 0.1× 30 604
MaryAnne Cronin United States 10 295 0.6× 159 0.5× 36 0.2× 147 1.6× 14 0.2× 18 456
Mateo Porres‐Aguilar United States 13 150 0.3× 142 0.4× 20 0.1× 144 1.6× 38 0.4× 64 469
Ji Il Kim South Korea 17 181 0.4× 103 0.3× 95 0.6× 478 5.2× 14 0.2× 77 838
S. Combe France 9 656 1.4× 482 1.4× 151 1.0× 206 2.2× 20 0.2× 25 760
V. Rosa Spain 14 245 0.5× 148 0.4× 55 0.3× 74 0.8× 8 0.1× 19 321

Countries citing papers authored by Usha Perepu

Since Specialization
Citations

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

Fields of papers citing papers by Usha Perepu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usha Perepu

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

All Works

17 of 17 papers shown
1.
McBane, Robert D., Charles L. Loprinzi, Tyler Zemla, et al.. (2024). Extending venous thromboembolism secondary prevention with apixaban in cancer patients. The EVE trial. Journal of Thrombosis and Haemostasis. 22(6). 1704–1714. 20 indexed citations
2.
Perepu, Usha, Abdul Wahab, Patrick Ten Eyck, et al.. (2021). Standard prophylactic versus intermediate dose enoxaparin in adults with severe COVID‐19: A multi‐center, open‐label, randomized controlled trial. Journal of Thrombosis and Haemostasis. 19(9). 2225–2234. 89 indexed citations
3.
Perepu, Usha, Abdul Wahab, Patrick Ten Eyck, et al.. (2021). Standard Prophylactic Versus Intermediate Dose Enoxaparin in Adults with Severe COVID-19: A Multi-Center, Open-Label, Randomised Controlled Trial. SSRN Electronic Journal. 1 indexed citations
4.
Dayal, Sanjana, Patrick Ten Eyck, Alicia S. Eustes, et al.. (2020). COVID-19-Associated Coagulopathy: Safety and Efficacy of Prophylactic Anticoagulation Therapy in Hospitalized Adults with COVID-19. Blood. 136(Supplement 1). 11–11. 1 indexed citations
5.
McBane, Robert D., Waldemar E. Wysokiński, Jennifer Le‐Rademacher, et al.. (2019). Apixaban and dalteparin in active malignancy‐associated venous thromboembolism: The ADAM VTE trial. Journal of Thrombosis and Haemostasis. 18(2). 411–421. 375 indexed citations breakdown →
6.
Maliske, Seth, et al.. (2019). Impact of Splenectomy on Postsurgical Platelet Count. American Journal of Clinical Pathology. 152(Supplement_1). S24–S25. 1 indexed citations
7.
Maliske, Seth, et al.. (2018). Impact of Splenectomy on Post-Surgical Platelet Count. Blood. 132(Supplement 1). 4981–4981. 3 indexed citations
8.
9.
McBane, Robert D., Waldemar E. Wysokiński, Jennifer Le‐Rademacher, et al.. (2018). Apixaban, Dalteparin, in Active Cancer Associated Venous Thromboembolism, the ADAM VTE Trial. Blood. 132(Supplement 1). 421–421. 34 indexed citations
10.
Monga, Varun, Seth Maliske, & Usha Perepu. (2017). Fatal pulmonary embolism following splenectomy in a patient with Evan’s syndrome: case report and review of the literature. Thrombosis Journal. 15(1). 18–18. 2 indexed citations
11.
Perepu, Usha, et al.. (2017). Striving to HIT the Bullseye When Diagnosing Heparin-Induced Thrombocytopenia. Blood. 130. 4639–4639. 3 indexed citations
12.
Tracy, Sean, Thomas M. Habermann, Andrew L. Feldman, et al.. (2017). Outcomes among North American patients with diffuse large B-cell lymphoma are independent of tumor Epstein-Barr virus positivity or immunosuppression. Haematologica. 103(2). 297–303. 16 indexed citations
13.
Perepu, Usha, et al.. (2016). Implementation of a Preoperative Anemia Management Clinic in a Tertiary Academic Medical Center. Blood. 128(22). 1004–1004. 2 indexed citations
14.
Tracy, Sean, Thomas M. Habermann, Andrew L. Feldman, et al.. (2016). No Association of EBV or Immunosuppression Status with Outcomes in US Patients with Diffuse Large B-Cell Lymphoma Treated in the Immunochemotherapy Era. Blood. 128(22). 107–107. 1 indexed citations
15.
Perepu, Usha & Lori J. Rosenstein. (2012). Maternal thrombocytopenia in pregnancy. 3(1). 1–15. 14 indexed citations
16.
Perepu, Usha, Anna M. Button, Laura Jacobus, et al.. (2012). Determinants of and outcomes associated with chemoimmunotherapy dose density in elderly subjects with diffuse large B-cell lymphoma (DLBCL).. Journal of Clinical Oncology. 30(15_suppl). 8061–8061. 1 indexed citations
17.

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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