Ravi Jasuja

4.6k total citations · 1 hit paper
78 papers, 3.5k citations indexed

About

Ravi Jasuja is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Ravi Jasuja has authored 78 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 33 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Cell Biology. Recurrent topics in Ravi Jasuja's work include Hormonal and reproductive studies (32 papers), Muscle metabolism and nutrition (18 papers) and Muscle Physiology and Disorders (14 papers). Ravi Jasuja is often cited by papers focused on Hormonal and reproductive studies (32 papers), Muscle metabolism and nutrition (18 papers) and Muscle Physiology and Disorders (14 papers). Ravi Jasuja collaborates with scholars based in United States, Sweden and India. Ravi Jasuja's co-authors include Shalender Bhasin, Rajan Singh, Gianluca Toraldo, Shalender Bhasin, Wen Guo, Frederick C. W. Wu, Meenakshi Krishna, Alvin M. Matsumoto, Carlo Serra and Randy W. Larsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Ravi Jasuja

74 papers receiving 3.5k 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.

A Reappraisal of Testosterone’s Binding in Circulation: Physiological and Clinical Implications

2017 278 citations Shalender Bhasin, Frederick C. W. Wu et al. Endocrine Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ravi Jasuja United States	29	1.4k	1.2k	767	630	487	78	3.5k
Wen Guo United States	36	2.2k 1.6×	615 0.5×	1.3k 1.7×	444 0.7×	248 0.5×	101	4.6k
Maria Marino Italy	32	2.1k 1.5×	439 0.4×	380 0.5×	492 0.8×	1.0k 2.1×	65	4.2k
James R. Gavin United States	27	2.0k 1.4×	1.2k 1.1×	1.0k 1.3×	498 0.8×	447 0.9×	47	4.2k
Takahiro Μatsumoto Japan	32	2.6k 1.8×	790 0.7×	417 0.5×	267 0.4×	1.2k 2.4×	143	5.5k
Gerard T. Berry United States	48	3.1k 2.2×	470 0.4×	1.1k 1.5×	513 0.8×	984 2.0×	213	7.1k
M. Page Haynes United States	18	1.4k 1.0×	694 0.6×	465 0.6×	315 0.5×	1.1k 2.2×	20	3.0k
Michel F. Rossier Switzerland	39	2.2k 1.5×	1.1k 0.9×	265 0.3×	263 0.4×	282 0.6×	100	3.9k
Kenichi Tanaka Japan	42	2.6k 1.9×	509 0.4×	474 0.6×	334 0.5×	814 1.7×	243	6.1k
Hye Seung Jung South Korea	35	1.4k 1.0×	841 0.7×	522 0.7×	318 0.5×	433 0.9×	120	4.0k
Keiichi Tasaka Japan	40	2.0k 1.4×	498 0.4×	519 0.7×	329 0.5×	612 1.3×	128	4.4k

Countries citing papers authored by Ravi Jasuja

Since Specialization

Citations

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

Fields of papers citing papers by Ravi Jasuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Jasuja

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pandey, Dev Mani, et al.. (2025). Mapping dihydropteroate synthase evolvability through identification of a novel evolutionarily critical substructure. International Journal of Biological Macromolecules. 311(Pt 2). 143325–143325.

Pandey, Dev Mani, et al.. (2025). Integrated structural analysis of sex hormone binding globulin reveals allosteric modulation by distant mutations. International Journal of Biological Macromolecules. 315(Pt 1). 144050–144050.

Liu, Luwei, et al.. (2023). Predicting COVID-19 severity: Challenges in reproducibility and deployment of machine learning methods. International Journal of Medical Informatics. 179. 105210–105210. 3 indexed citations

Jasuja, Ravi, Karol M. Pencina, Liming Peng, & Shalender Bhasin. (2022). Accurate Measurement and Harmonized Reference Ranges for Total and Free Testosterone Levels. Endocrinology and Metabolism Clinics of North America. 51(1). 63–75. 10 indexed citations

Jasuja, Ravi, Abhilash Jayaraj, Liming Peng, et al.. (2021). Estradiol induces allosteric coupling and partitioning of sex-hormone-binding globulin monomers among conformational states. iScience. 24(6). 102414–102414. 12 indexed citations

Arver, Stefan, Torbjörn Holm, Matteo Bottai, et al.. (2019). Acute primary testicular failure due to radiotherapy increases risk of severe postoperative adverse events in rectal cancer patients. European Journal of Surgical Oncology. 46(1). 98–104. 1 indexed citations

Bhasin, Shalender, et al.. (2017). A Reappraisal of Testosterone’s Binding in Circulation: Physiological and Clinical Implications. Endocrine Reviews. 38(4). 302–324. 278 indexed citations breakdown →

Basaria, Shehzad, Ravi Jasuja, Grace Huang, et al.. (2016). Characteristics of Men Who Report Persistent Sexual Symptoms After Finasteride Use for Hair Loss. The Journal of Clinical Endocrinology & Metabolism. 101(12). 4669–4680. 54 indexed citations

Guo, Wen, Andrew D. Miller, Karol M. Pencina, et al.. (2015). Joint dysfunction and functional decline in middle age myostatin null mice. Bone. 83. 141–148. 4 indexed citations

10.

Guo, Wen, Siu Ling Wong, Michelle Li, et al.. (2012). Testosterone Plus Low-Intensity Physical Training in Late Life Improves Functional Performance, Skeletal Muscle Mitochondrial Biogenesis, and Mitochondrial Quality Control in Male Mice. PLoS ONE. 7(12). e51180–e51180. 50 indexed citations

11.

Serra, Carlo, Susan Rudy, Gianluca Toraldo, et al.. (2012). Testosterone Improves the Regeneration of Old and Young Mouse Skeletal Muscle. The Journals of Gerontology Series A. 68(1). 17–26. 72 indexed citations

12.

Zakharov, M. N., Jagadish Ulloor, Shalender Bhasin, et al.. (2011). Guanidinium chloride-induced spectral perturbations of 4,4′-dianilino-1,1′-binaphthyl-5,5′-disulfonic acid confound interpretation of data on molten globule states. Analytical Biochemistry. 416(1). 126–128. 2 indexed citations

13.

Bhasin, Shalender, Ravi Jasuja, Powen Tu, Thomas W. Storer, & Wen Guo. (2011). Novel Strategies for Improving Physical Function. Hormone Research in Paediatrics. 76(Suppl. 1). 17–23. 2 indexed citations

14.

Gupta, Vandana, Shalender Bhasin, Wen Guo, et al.. (2008). Effects of dihydrotestosterone on differentiation and proliferation of human mesenchymal stem cells and preadipocytes. Molecular and Cellular Endocrinology. 296(1-2). 32–40. 134 indexed citations

15.

Guo, Wen, et al.. (2008). The Effects of Myostatin on Adipogenic Differentiation of Human Bone Marrow-derived Mesenchymal Stem Cells Are Mediated through Cross-communication between Smad3 and Wnt/β-Catenin Signaling Pathways. Journal of Biological Chemistry. 283(14). 9136–9145. 101 indexed citations

16.

Bhasin, Shalender, Olga M. Calof, Thomas W. Storer, et al.. (2006). Drug Insight: testosterone and selective androgen receptor modulators as anabolic therapies for chronic illness and aging. PubMed. 2(3). 146–159. 232 indexed citations

17.

Taylor, Wayne E., Rajan Singh, Jorge Artaza, et al.. (2003). The Mechanisms of Androgen Effects on Body Composition: Mesenchymal Pluripotent Cell as the Target of Androgen Action. The Journals of Gerontology Series A. 58(12). M1103–M1110. 158 indexed citations

18.

Ferrone, Frank A., et al.. (2002). Heterogeneous Nucleation and Crowding in Sickle Hemoglobin: An Analytic Approach. Biophysical Journal. 82(1). 399–406. 50 indexed citations

19.

Jasuja, Ravi, Robert Josephs, Zhiping Wang, et al.. (2001). Flexibility and nucleation in sickle hemoglobin 1 1Edited by M. F. Moody. Journal of Molecular Biology. 314(4). 851–861. 16 indexed citations

20.

Larsen, Randy W., et al.. (1996). Spectroscopic and molecular modeling studies of caffeine complexes with DNA intercalators. Biophysical Journal. 70(1). 443–452. 86 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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