Kalyani Perumal

1.2k total citations
12 papers, 676 citations indexed

About

Kalyani Perumal is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kalyani Perumal has authored 12 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nephrology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kalyani Perumal's work include Chronic Kidney Disease and Diabetes (4 papers), Blood Pressure and Hypertension Studies (4 papers) and AI in cancer detection (2 papers). Kalyani Perumal is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Blood Pressure and Hypertension Studies (4 papers) and AI in cancer detection (2 papers). Kalyani Perumal collaborates with scholars based in United States. Kalyani Perumal's co-authors include Susan Steigerwalt, Raymond R. Townsend, Mahboob Rahman, Valerie Teal, Amanda H. Anderson, Jackson T. Wright, Gail Makos, Virginia Ford, Zhen Chen and Paul Muntner and has published in prestigious journals such as Scientific Reports, The Journal of Urology and Journal of Lipid Research.

In The Last Decade

Kalyani Perumal

12 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kalyani Perumal United States	8	397	248	102	90	76	12	676
Hans Hallan Norway	7	362 0.9×	558 2.3×	53 0.5×	125 1.4×	121 1.6×	8	856
Óscar Noboa Uruguay	15	200 0.5×	233 0.9×	58 0.6×	100 1.1×	35 0.5×	43	590
Christine Fumeron France	12	226 0.6×	370 1.5×	67 0.7×	75 0.8×	56 0.7×	17	709
Julia Lewis United States	11	208 0.5×	614 2.5×	63 0.6×	130 1.4×	97 1.3×	13	913
Kurt Kvenild Norway	7	321 0.8×	470 1.9×	40 0.4×	119 1.3×	105 1.4×	10	724
Karen S. Servilla United States	17	259 0.7×	454 1.8×	36 0.4×	150 1.7×	90 1.2×	63	949
Radhakrishna R. Kallem United States	18	616 1.6×	602 2.4×	95 0.9×	182 2.0×	117 1.5×	25	1.2k
Chang-Yun Yoon South Korea	13	98 0.2×	271 1.1×	71 0.7×	69 0.8×	48 0.6×	27	548
Thida C. Tan United States	16	249 0.6×	503 2.0×	24 0.2×	96 1.1×	69 0.9×	43	804
Amanda H. Anderson United States	12	166 0.4×	688 2.8×	78 0.8×	103 1.1×	61 0.8×	14	945

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

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12 of 12 papers shown

Lee, Joonsang, Elisa Warner, Markus Bitzer, et al.. (2023). Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images. Scientific Reports. 13(1). 12701–12701. 5 indexed citations

Lee, Joonsang, Elisa Warner, Markus Bitzer, et al.. (2022). Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease. Scientific Reports. 12(1). 4832–4832. 28 indexed citations

Shao, Baohai, Anna V. Mathew, Subramaniam Pennathur, et al.. (2021). Altered HDL proteome predicts incident CVD in chronic kidney disease patients. Journal of Lipid Research. 62. 100135–100135. 20 indexed citations

Troost, Jonathan P., Jennifer Hawkins, Debbie S. Gipson, et al.. (2018). Consent for Genetic Biobanking in a Diverse Multisite CKD Cohort. Kidney International Reports. 3(6). 1267–1275. 7 indexed citations

Troost, Jonathan P., Howard Trachtman, Patrick H. Nachman, et al.. (2017). An Outcomes-Based Definition of Proteinuria Remission in Focal Segmental Glomerulosclerosis. Clinical Journal of the American Society of Nephrology. 13(3). 414–421. 52 indexed citations

Sriram, Krishnan, et al.. (2014). The relationship between immediate preoperative serum 25-hydroxy-vitamin D3 levels and cardiac function, dysglycemia, length of stay, and 30-d readmissions in cardiac surgery patients. Nutrition. 31(6). 820–826. 22 indexed citations

Muntner, Paul, Amanda H. Anderson, Jeanne Charleston, et al.. (2010). 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 indexed citations

Muntner, Paul, Amanda H. Anderson, Jeanne Charleston, et al.. (2009). Hypertension Awareness, Treatment, and Control in Adults With CKD: Results From the Chronic Renal Insufficiency Cohort (CRIC) Study. American Journal of Kidney Diseases. 55(3). 441–451. 302 indexed citations

Townsend, Raymond R., Neil J. Wimmer, Julio A. Chirinos, et al.. (2009). Aortic PWV in Chronic Kidney Disease: A CRIC Ancillary Study. American Journal of Hypertension. 23(3). 282–289. 171 indexed citations

10.

DeLoach, Stephanie, Lawrence J. Appel, Marshall M. Joffe, et al.. (2009). Aortic Pulse Pressure Is Associated With Carotid IMT in Chronic Kidney Disease: Report From Chronic Renal Insufficiency Cohort. American Journal of Hypertension. 22(12). 1235–1241. 21 indexed citations

11.

Lucas, Brian, Arthur T. Evans, Brendan M. Reilly, et al.. (2004). The impact of evidence on physicians’ inpatient treatment decisions. Journal of General Internal Medicine. 19(5). 402–409. 44 indexed citations

12.

Perumal, Kalyani, et al.. (1983). An Innovative External Protective Device for Abnormal Kidneys in Children. The Journal of Urology. 130(6). 1136–1137. 3 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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