Kalyani Perumal

1.2k citations
12 papers · 676 indexed · h-index 8
Topics
Chronic Kidney Disease and Diabetes (4 papers)Blood Pressure and Hypertension Studies (4 papers)AI in cancer detection (2 papers)
Partner nations
United States

In The Last Decade

Kalyani Perumal

12 papers receiving 662 citations

Peers

Kalyani Perumal
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 397
  • Nephrology 248
  • Nutrition and Dietetics 102
  • Pulmonary and Respiratory Medicine 90
  • Endocrinology, Diabetes and Metabolism 76
Replace Jeremy Dwight with:
Jeremy Dwight United Kingdom
Karen S. Servilla United States
C Devriès France
Glen James United Kingdom
Thida C. Tan United States
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D. Jordi Goldstein-Fuchs Belgium
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Kalyani Perumal relative to Jeremy Dwight United Kingdom Jeremy Dwight's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kalyani Perumal

Since Specialization
Citations

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

Fields of papers citing papers by Kalyani Perumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalyani Perumal

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 28
3 20
4 7
5 52
6 22
7
ORIGINAL INVESTIGATIONS Pathogenesis and Treatment of Kidney Disease Hypertension Awareness, Treatment, and Control in Adults With CKD: Results From the Chronic Renal Insufficiency Cohort (CRIC) Study
1
8 302
9 171
10 21
11 44
12 3

About Kalyani Perumal

Kalyani Perumal is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 12 papers that have together received 676 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Blood Pressure and Hypertension Studies (4 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Nephrology (248 citations), Cardiology and Cardiovascular Medicine (397 citations) and Family Practice (16 citations). Kalyani Perumal has collaborated with scholars based in United States. Frequent co-authors include Susan Steigerwalt, Raymond R. Townsend, Mahboob Rahman, Valerie Teal, Andrew O’Connor, Virginia Ford, Jackson T. Wright, Paul Muntner, Zhen Chen and Amanda H. Anderson. Their work appears in journals such as Scientific Reports, The Journal of Urology and Journal of Lipid Research.

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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