Jai Radhakrishnan

22.9k total citations · 1 hit paper
191 papers, 9.1k citations indexed

About

Jai Radhakrishnan is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jai Radhakrishnan has authored 191 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Nephrology, 40 papers in Pulmonary and Respiratory Medicine and 34 papers in Surgery. Recurrent topics in Jai Radhakrishnan's work include Renal Diseases and Glomerulopathies (76 papers), Chronic Kidney Disease and Diabetes (30 papers) and Systemic Lupus Erythematosus Research (29 papers). Jai Radhakrishnan is often cited by papers focused on Renal Diseases and Glomerulopathies (76 papers), Chronic Kidney Disease and Diabetes (30 papers) and Systemic Lupus Erythematosus Research (29 papers). Jai Radhakrishnan collaborates with scholars based in United States, United Kingdom and Canada. Jai Radhakrishnan's co-authors include Vivette D. D’Agati, Glen S. Markowitz, Gerald B. Appel, Michael B. Stokes, Sumit Mohan, Andrew S. Bomback, Daniel Cattran, Anthony M. Valeri, Leal Herlitz and Eric Siddall and has published in prestigious journals such as New England Journal of Medicine, Blood and PLoS ONE.

In The Last Decade

Jai Radhakrishnan

181 papers receiving 8.9k citations

Hit Papers

Pathologic Classification of Diabetic Nephropathy 2010 2026 2015 2020 2010 250 500 750 1000

Peers

Jai Radhakrishnan
Comparison fields: 5 of 152
  • Nephrology 4.5k
  • Pulmonary and Respiratory Medicine 2.0k
  • Surgery 1.5k
  • Molecular Biology 1.4k
  • Immunology 975
Replace Tibor Nádasdy with:
Tibor Nádasdy United States
Manuel Praga Spain
Jérôme Rossert France
Kosaku Nitta Japan
Glen S. Markowitz United States
Hitoshi Yokoyama Japan
Paul Cockwell United Kingdom
Lee A. Hebert United States
Fernando G. Cosio United States
Guido Filler Canada
Tibor Nádasdy United States View profile →
Citations per field, relative to Jai Radhakrishnan
Jai Radhakrishnan · 1×
Citations per year, relative to Jai Radhakrishnan
Jai Radhakrishnan · 1×

Countries citing papers authored by Jai Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Jai Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jai Radhakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Jai Radhakrishnan. A scholar is included among the top collaborators of Jai Radhakrishnan 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 Jai Radhakrishnan. Jai Radhakrishnan 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
# Work Indexed citations
1 0
2 1
3 2
4 1
5 10
6 9
7 7
8 129
9 0
10 80
11 36
12 19
13 29
14 11
15 1
16 4
17 33
18 251
19 129
20 37

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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