Nitin Khosla

26 total papers · 859 total citations
14 papers, 638 citations indexed

About

Nitin Khosla is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Nitin Khosla has authored 14 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Nephrology. Recurrent topics in Nitin Khosla's work include Blood Pressure and Hypertension Studies (8 papers), Hormonal Regulation and Hypertension (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). Nitin Khosla is often cited by papers focused on Blood Pressure and Hypertension Studies (8 papers), Hormonal Regulation and Hypertension (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). Nitin Khosla collaborates with scholars based in United States and United Kingdom. Nitin Khosla's co-authors include George L. Bakris, Pantelis Sarafidis, Rigas Kalaitzidis, Ravindra L. Mehta, W.J. Elliott, Yen‐Hsuan Ni, Jonathan Himmelfarb, Sharon Soroko, Glenn M. Chertow and T. Alp İkizler and has published in prestigious journals such as American Journal of Kidney Diseases, Clinical Journal of the American Society of Nephrology and American Journal of Hypertension.

In The Last Decade

Nitin Khosla

11 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
Nitin Khosla 328 266 258 109 108 14 638
Frank A. Holtkamp 276 0.8× 278 1.0× 238 0.9× 109 1.0× 82 0.8× 9 570
Giacomina Loriga 382 1.2× 235 0.9× 147 0.6× 101 0.9× 54 0.5× 11 606
Samuel Spitalewitz 278 0.8× 296 1.1× 177 0.7× 52 0.5× 76 0.7× 24 647
Rajiv Agarwal 161 0.5× 252 0.9× 266 1.0× 49 0.4× 125 1.2× 16 638
S. Bandinelli 231 0.7× 197 0.7× 202 0.8× 97 0.9× 62 0.6× 18 747
W. Marz 313 1.0× 146 0.5× 247 1.0× 100 0.9× 126 1.2× 11 727
John Kyriazis 133 0.4× 283 1.1× 164 0.6× 71 0.7× 100 0.9× 21 600
Valeria Falqui 440 1.3× 283 1.1× 146 0.6× 58 0.5× 134 1.2× 29 768
Jan A. Krikken 323 1.0× 233 0.9× 123 0.5× 180 1.7× 156 1.4× 26 674
Robert Toto 236 0.7× 275 1.0× 190 0.7× 33 0.3× 68 0.6× 16 592

Countries citing papers authored by Nitin Khosla

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Khosla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Khosla

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Khosla. A scholar is included among the top collaborators of Nitin Khosla 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 Nitin Khosla. Nitin Khosla 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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