Rohit S. Loomba

278 total papers · 2.1k total citations
140 papers, 976 citations indexed

About

Rohit S. Loomba is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rohit S. Loomba has authored 140 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Epidemiology, 57 papers in Surgery and 41 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rohit S. Loomba's work include Congenital Heart Disease Studies (50 papers), Cardiac Arrest and Resuscitation (27 papers) and Hemodynamic Monitoring and Therapy (21 papers). Rohit S. Loomba is often cited by papers focused on Congenital Heart Disease Studies (50 papers), Cardiac Arrest and Resuscitation (27 papers) and Hemodynamic Monitoring and Therapy (21 papers). Rohit S. Loomba collaborates with scholars based in United States, Mexico and United Kingdom. Rohit S. Loomba's co-authors include Saúl Flores, Enrique G. Villarreal, Robert H. Anderson, Juan S. Farias, Saurabh Aggarwal, Diane E. Spicer, Ronald A. Bronicki, Rohit Arora, Andrew N. Pelech and Justin T. Tretter and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Rohit S. Loomba

119 papers receiving 956 citations

Hit Papers

Comparison of pharmacolog... 2025 2026 2025 5 10 15 20

Author Peers

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

Author Last Decade Papers Cites
Rohit S. Loomba 456 378 253 236 136 140 976
Rui Shi 256 0.6× 401 1.1× 160 0.6× 199 0.8× 89 0.7× 99 1.1k
Joe R. Utley 264 0.6× 629 1.7× 344 1.4× 430 1.8× 107 0.8× 70 1.2k
Herko Grubitzsch 462 1.0× 534 1.4× 323 1.3× 884 3.7× 80 0.6× 96 1.2k
Tanıl Kendirli 331 0.7× 220 0.6× 243 1.0× 91 0.4× 133 1.0× 161 1.2k
Francesco Gavelli 272 0.6× 338 0.9× 292 1.2× 81 0.3× 147 1.1× 61 930
Maren Tomaske 235 0.5× 336 0.9× 235 0.9× 421 1.8× 75 0.6× 50 1.1k
Jong Hoo Lee 379 0.8× 236 0.6× 332 1.3× 76 0.3× 95 0.7× 74 1.2k
G Zobel 287 0.6× 322 0.9× 467 1.8× 184 0.8× 171 1.3× 92 1.2k
Ankit Sakhuja 217 0.5× 202 0.5× 168 0.7× 323 1.4× 66 0.5× 56 902
Nariman Sepehrvand 187 0.4× 178 0.5× 189 0.7× 336 1.4× 101 0.7× 98 1.1k

Countries citing papers authored by Rohit S. Loomba

Since Specialization
Citations

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

Fields of papers citing papers by Rohit S. Loomba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohit S. Loomba. 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 Rohit S. Loomba. The network helps show where Rohit S. Loomba may publish in the future.

Co-authorship network of co-authors of Rohit S. Loomba

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

All Works

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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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