Arjun Sinha

3.0k total citations
78 papers, 2.0k citations indexed

About

Arjun Sinha is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Arjun Sinha has authored 78 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 27 papers in Nephrology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Arjun Sinha's work include Dialysis and Renal Disease Management (23 papers), Blood Pressure and Hypertension Studies (22 papers) and HIV-related health complications and treatments (9 papers). Arjun Sinha is often cited by papers focused on Dialysis and Renal Disease Management (23 papers), Blood Pressure and Hypertension Studies (22 papers) and HIV-related health complications and treatments (9 papers). Arjun Sinha collaborates with scholars based in United States, Canada and Philippines. Arjun Sinha's co-authors include Rajiv Agarwal, Rajiv Agarwal, Maria K. Pappas, Matthew J. Feinstein, Robert P. Light, Sanjiv J. Shah, Donald M. Lloyd‐Jones, Fangqian Ouyang, Wanzhu Tu and Farah Ammous and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Arjun Sinha

71 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjun Sinha United States 26 1.0k 664 436 267 250 78 2.0k
Luca Di Lullo Italy 26 876 0.9× 839 1.3× 293 0.7× 175 0.7× 255 1.0× 112 2.0k
Matthew A. Roberts Australia 26 718 0.7× 1.0k 1.6× 365 0.8× 239 0.9× 114 0.5× 79 2.3k
Pierre Fesler France 27 1.2k 1.2× 435 0.7× 491 1.1× 296 1.1× 198 0.8× 87 2.5k
Chantal Kopecky Austria 18 1.3k 1.3× 564 0.8× 731 1.7× 612 2.3× 364 1.5× 40 3.1k
Justin L. Grodin United States 31 1.5k 1.5× 568 0.9× 324 0.7× 255 1.0× 573 2.3× 132 2.7k
Veena S. Rao United States 22 1.1k 1.0× 623 0.9× 459 1.1× 460 1.7× 287 1.1× 80 2.2k
Ken Sakai Japan 28 385 0.4× 797 1.2× 559 1.3× 569 2.1× 246 1.0× 156 2.6k
Alberto Martínez‐Castelao Spain 27 421 0.4× 1.4k 2.1× 600 1.4× 384 1.4× 272 1.1× 78 2.7k
Sang‐Ho Jo South Korea 19 632 0.6× 451 0.7× 372 0.9× 112 0.4× 87 0.3× 105 1.4k
Radovan Hojs Slovenia 24 546 0.5× 1.1k 1.7× 422 1.0× 429 1.6× 294 1.2× 136 2.6k

Countries citing papers authored by Arjun Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Sinha. A scholar is included among the top collaborators of Arjun Sinha 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 Arjun Sinha. Arjun Sinha 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.
Budukh, Atul, Deepak Gupta, Ravi Kant Singh, et al.. (2025). Cancer burden, its pattern and survival in Muzaffarpur: findings from first population-based cancer registry of Bihar state, India. ecancermedicalscience. 19. 1972–1972.
2.
Allaw, Mohammed, Arjun Sinha, Kambiz Ghafourian, et al.. (2023). Don’t judge a book by its cover: a case report of apolipoprotein A-IV cardiac amyloidosis. European Heart Journal - Case Reports. 7(8). ytad341–ytad341.
3.
Dalal, Prarthana, Abigail S. Baldridge, Arjun Sinha, et al.. (2023). Myocardial strain is associated with adverse cardiac events in patients treated with chimeric antigen receptor (CAR) T‐cell therapy. European Journal Of Haematology. 112(1). 102–110. 10 indexed citations
4.
Fullenkamp, Dominic E., Arjun Sinha, Isabella M. Salamone, et al.. (2023). Hypertrophic Cardiomyopathy Secondary to RAF1 Cysteine-Rich Domain Variants. Circulation Genomic and Precision Medicine. 16(6). e004262–e004262.
5.
6.
Eadon, Michael T., Judith Maddatu, Sharon M. Moe, et al.. (2021). Pharmacogenomics of Hypertension in CKD: The CKD-PGX Study. Kidney360. 3(2). 307–316. 13 indexed citations
7.
Sinha, Arjun, Deepak K. Gupta, Clyde W. Yancy, et al.. (2021). Risk-Based Approach for the Prediction and Prevention of Heart Failure. Circulation Heart Failure. 14(2). e007761–e007761. 32 indexed citations
8.
Dalal, Prarthana, et al.. (2021). Abstract 14394: Cardiovascular Toxicities After Chimeric Antigen Receptor T-cell (CAR-T) Therapy: A Single Center Experience. Circulation. 144(Suppl_1). 1 indexed citations
9.
DeBerge, Matthew, Arjun Sinha, Jiao-Jing Wang, et al.. (2021). Bone marrow-derived AXL tyrosine kinase promotes mitogenic crosstalk and cardiac allograft vasculopathy. The Journal of Heart and Lung Transplantation. 40(6). 435–446. 6 indexed citations
10.
Collins, Kimberly S., Arjun Sinha, Asif Sharfuddin, et al.. (2020). Implementation of a Renal Precision Medicine Program: Clinician Attitudes and Acceptance. PMC. 1 indexed citations
11.
Agarwal, Rajiv, et al.. (2020). Design and Baseline Characteristics of the Chlorthalidone in Chronic Kidney Disease (CLICK) Trial. American Journal of Nephrology. 51(7). 542–552. 8 indexed citations
12.
Rivera, Adovich S., Anna Pawlowski, Arjun Sinha, et al.. (2020). Differential Associations of Chronic Inflammatory Diseases With Incident Heart Failure. JACC Heart Failure. 8(6). 489–498. 48 indexed citations
13.
Ellis, Rebecca J. Bartlett, et al.. (2019). The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback. JMIR Formative Research. 3(2). e13558–e13558. 13 indexed citations
14.
Sinha, Arjun & Rajiv Agarwal. (2019). Clinical Pharmacology of Antihypertensive Therapy for the Treatment of Hypertension in CKD. PMC. 1 indexed citations
15.
Agarwal, Rajiv, Maria K. Pappas, & Arjun Sinha. (2016). Masked Uncontrolled Hypertension in CKD. PMC.
16.
Sinha, Arjun, Yifei Ma, Rebecca Scherzer, et al.. (2016). ASSOCIATION OF T-CELL ACTIVATION AND INFLAMMATION WITH ENDOTHELIAL DYSFUNCTION IN HIV. Journal of the American College of Cardiology. 67(13). 2325–2325. 1 indexed citations
17.
Sinha, Arjun, et al.. (2015). BP Components in Advanced CKD and the Competing Risks of Death, ESRD, and Cardiovascular Events. PMC. 1 indexed citations
18.
Agarwal, Rajiv, et al.. (2014). Hypertension in hemodialysis patients treated with atenolol or lisinopril: a randomized controlled trial. Publisher. 3 indexed citations
19.
Agarwal, Rajiv, Arjun Sinha, Maria K. Pappas, & Farah Ammous. (2014). Chlorthalidone for Poorly Controlled Hypertension in Chronic Kidney Disease: An Interventional Pilot Study. American Journal of Nephrology. 39(2). 171–182. 65 indexed citations
20.
Sinha, Arjun, et al.. (2011). Home Blood Pressure Monitoring: How Good a Predictor of Long-Term Risk?. Current Hypertension Reports. 13(3). 192–199. 16 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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