Sooraj Kuttykrishnan

479 total citations
8 papers, 339 citations indexed

About

Sooraj Kuttykrishnan is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Economics and Econometrics. According to data from OpenAlex, Sooraj Kuttykrishnan has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nephrology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Economics and Econometrics. Recurrent topics in Sooraj Kuttykrishnan's work include Dialysis and Renal Disease Management (5 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Blood Pressure and Hypertension Studies (1 paper). Sooraj Kuttykrishnan is often cited by papers focused on Dialysis and Renal Disease Management (5 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Blood Pressure and Hypertension Studies (1 paper). Sooraj Kuttykrishnan collaborates with scholars based in United States and South Korea. Sooraj Kuttykrishnan's co-authors include Rajnish Mehrotra, Kamyar Kalantar‐Zadeh, Vanessa Ravel, Elani Streja, Miklos Z. Molnar, Ronit Katz, Onyebuchi A. Arah, Jonathan Himmelfarb, Alfred K. Cheung and Melissa Soohoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Kidney International.

In The Last Decade

Sooraj Kuttykrishnan

7 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sooraj Kuttykrishnan United States 7 223 58 47 42 41 8 339
Giovanni Strippoli Italy 7 117 0.5× 46 0.8× 43 0.9× 24 0.6× 28 0.7× 15 275
Winston Wing‐Shing Fung Hong Kong 10 207 0.9× 34 0.6× 46 1.0× 31 0.7× 43 1.0× 66 369
Olivera Stojceva-Taneva North Macedonia 11 284 1.3× 31 0.5× 64 1.4× 100 2.4× 37 0.9× 41 447
Marvin Sinsakul United States 9 203 0.9× 40 0.7× 41 0.9× 32 0.8× 13 0.3× 18 322
Tongying Zhu China 11 214 1.0× 39 0.7× 45 1.0× 18 0.4× 15 0.4× 29 299
James Chess United Kingdom 8 229 1.0× 39 0.7× 91 1.9× 37 0.9× 41 1.0× 15 410
Vincenzo De Biase Italy 7 245 1.1× 47 0.8× 63 1.3× 20 0.5× 23 0.6× 11 385
Nelson Mazzuchi Uruguay 10 288 1.3× 21 0.4× 67 1.4× 36 0.9× 18 0.4× 22 384
Vickie Wai-Ki Kwong Hong Kong 13 325 1.5× 14 0.2× 78 1.7× 84 2.0× 19 0.5× 19 381
Ewa Wojtaszek Poland 9 114 0.5× 17 0.3× 35 0.7× 27 0.6× 26 0.6× 33 220

Countries citing papers authored by Sooraj Kuttykrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Sooraj Kuttykrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sooraj Kuttykrishnan

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

All Works

8 of 8 papers shown
1.
Rivara, Matthew B., Scott V. Adams, Sooraj Kuttykrishnan, et al.. (2016). Extended-hours hemodialysis is associated with lower mortality risk in patients with end-stage renal disease. Kidney International. 90(6). 1312–1320. 29 indexed citations
2.
Rhee, Connie M., Steven Kim, Daniel L. Gillen, et al.. (2015). Association of Thyroid Functional Disease With Mortality in a National Cohort of Incident Hemodialysis Patients. The Journal of Clinical Endocrinology & Metabolism. 100(4). 1386–1395. 50 indexed citations
3.
Kuttykrishnan, Sooraj, Kamyar Kalantar‐Zadeh, Onyebuchi A. Arah, et al.. (2015). Predictors of treatment with dialysis modalities in observational studies for comparative effectiveness research. Nephrology Dialysis Transplantation. 30(7). 1208–1217. 46 indexed citations
4.
Mehrotra, Rajnish, Vanessa Ravel, Elani Streja, et al.. (2015). Peritoneal Equilibration Test and Patient Outcomes. Clinical Journal of the American Society of Nephrology. 10(11). 1990–2001. 52 indexed citations
5.
Streja, Elani, Connie M. Rhee, Jongha Park, et al.. (2015). Examining the robustness of the obesity paradox in maintenance hemodialysis patients: a marginal structural model analysis. Nephrology Dialysis Transplantation. 31(8). 1310–1319. 51 indexed citations
6.
Mehrotra, Rajnish, Melissa Soohoo, Matthew B. Rivara, et al.. (2015). Racial and Ethnic Disparities in Use of and Outcomes with Home Dialysis in the United States. Journal of the American Society of Nephrology. 27(7). 2123–2134. 77 indexed citations
7.
Kuttykrishnan, Sooraj, Jeffrey Sabina, Laura Langton, Mark Johnston, & Michael R. Brent. (2010). A quantitative model of glucose signaling in yeast reveals an incoherent feed forward loop leading to a specific, transient pulse of transcription. Proceedings of the National Academy of Sciences. 107(38). 16743–16748. 34 indexed citations
8.
Kuttykrishnan, Sooraj. (2008). Some stably tame polynomial automorphisms. Journal of Pure and Applied Algebra. 213(1). 127–135.

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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