K.S. Nayak

32 total papers · 597 total citations
21 papers, 315 citations indexed

About

K.S. Nayak is a scholar working on Nephrology, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, K.S. Nayak has authored 21 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 5 papers in Economics and Econometrics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in K.S. Nayak's work include Dialysis and Renal Disease Management (14 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Blood Pressure and Hypertension Studies (4 papers). K.S. Nayak is often cited by papers focused on Dialysis and Renal Disease Management (14 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Blood Pressure and Hypertension Studies (4 papers). K.S. Nayak collaborates with scholars based in India, United States and United Kingdom. K.S. Nayak's co-authors include Palepu Gopal, Deven Juneja, Aditi Nayak, GR Sridhar, Mitchell H. Rosner, Viraj Bhise, Akash Nayak, Suresh Sankarasubbaiyan, Priyanka Govindan and Rezvi Sheriff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Journal of the American Society of Nephrology and Peritoneal Dialysis International.

In The Last Decade

K.S. Nayak

20 papers receiving 303 citations

Author Peers

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

Author Last Decade Papers Cites
K.S. Nayak 200 124 78 58 54 21 315
Ben Wong 269 1.3× 125 1.0× 65 0.8× 52 0.9× 52 1.0× 10 346
Arjan van der Tol 159 0.8× 98 0.8× 51 0.7× 108 1.9× 34 0.6× 17 305
Alix Clarke 123 0.6× 108 0.9× 78 1.0× 25 0.4× 77 1.4× 22 336
Juan Fernández-Cean 257 1.3× 52 0.4× 48 0.6× 64 1.1× 30 0.6× 15 363
Yuk‐Lun Cheng 188 0.9× 63 0.5× 26 0.3× 41 0.7× 22 0.4× 27 292
Maureen Wakeen 204 1.0× 158 1.3× 130 1.7× 83 1.4× 21 0.4× 14 329
Carola W.H. de Fijter 250 1.3× 111 0.9× 37 0.5× 89 1.5× 21 0.4× 11 302
K. Donovan 169 0.8× 89 0.7× 121 1.6× 81 1.4× 28 0.5× 18 302
Emmanuel Fabre 304 1.5× 136 1.1× 31 0.4× 48 0.8× 50 0.9× 15 328
Sivakumar Sridharan 211 1.1× 67 0.5× 27 0.3× 53 0.9× 28 0.5× 29 352

Countries citing papers authored by K.S. Nayak

Since Specialization
Citations

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

Fields of papers citing papers by K.S. Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.S. Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of K.S. Nayak. A scholar is included among the top collaborators of K.S. Nayak 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 K.S. Nayak. K.S. Nayak 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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