Wisit Kaewput

1.8k total citations
90 papers, 985 citations indexed

About

Wisit Kaewput is a scholar working on Nephrology, Surgery and Transplantation. According to data from OpenAlex, Wisit Kaewput has authored 90 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nephrology, 22 papers in Surgery and 17 papers in Transplantation. Recurrent topics in Wisit Kaewput's work include Renal Transplantation Outcomes and Treatments (17 papers), Dialysis and Renal Disease Management (13 papers) and Chronic Kidney Disease and Diabetes (9 papers). Wisit Kaewput is often cited by papers focused on Renal Transplantation Outcomes and Treatments (17 papers), Dialysis and Renal Disease Management (13 papers) and Chronic Kidney Disease and Diabetes (9 papers). Wisit Kaewput collaborates with scholars based in Thailand, United States and United Kingdom. Wisit Kaewput's co-authors include Wisit Cheungpasitporn, Charat Thongprayoon, Michael A. Mao, Tarun Bathini, Boonphiphop Boonpheng, Patompong Ungprasert, Narothama Reddy Aeddula, Karn Wijarnpreecha, Saraschandra Vallabhajosyula and Kanramon Watthanasuntorn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Wisit Kaewput

82 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wisit Kaewput Thailand 18 275 255 159 127 113 90 985
Azim S. Gangji Canada 17 325 1.2× 302 1.2× 175 1.1× 104 0.8× 22 0.2× 44 1.2k
Ekamol Tantisattamo United States 14 396 1.4× 214 0.8× 129 0.8× 76 0.6× 25 0.2× 100 1.1k
Patricia de Sequera Spain 18 742 2.7× 187 0.7× 229 1.4× 237 1.9× 151 1.3× 100 1.6k
Erik Roys United States 12 690 2.5× 378 1.5× 113 0.7× 139 1.1× 93 0.8× 16 1.4k
Arnaud D. Kazé United States 21 390 1.4× 284 1.1× 313 2.0× 274 2.2× 30 0.3× 62 1.6k
Shahriari Ali Reza Iran 5 907 3.3× 211 0.8× 348 2.2× 162 1.3× 43 0.4× 17 1.6k
Amy C. Wilson United States 17 298 1.1× 138 0.5× 146 0.9× 70 0.6× 26 0.2× 38 827
Şehsuvar Ertürk Türkiye 16 524 1.9× 284 1.1× 236 1.5× 74 0.6× 16 0.1× 61 1.1k
Christian G. Rabbat Canada 16 433 1.6× 472 1.9× 394 2.5× 189 1.5× 47 0.4× 29 1.5k
Tai‐Shuan Lai Taiwan 17 441 1.6× 227 0.9× 205 1.3× 212 1.7× 84 0.7× 80 1.0k

Countries citing papers authored by Wisit Kaewput

Since Specialization
Citations

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

Fields of papers citing papers by Wisit Kaewput

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wisit Kaewput

This figure shows the co-authorship network connecting the top 25 collaborators of Wisit Kaewput. A scholar is included among the top collaborators of Wisit Kaewput 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 Wisit Kaewput. Wisit Kaewput 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
1.
Chaiprasert, Amnart, et al.. (2023). Effect of intradialytic weight resistance training exercise in sarcopenic hemodialysis patients: A randomized controlled trial. Therapeutic Apheresis and Dialysis. 28(2). 182–191. 1 indexed citations
2.
Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 10(4). 25–25. 1 indexed citations
3.
Thongprayoon, Charat, Jing Miao, Caroline C. Jadlowiec, et al.. (2023). Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering. Medicina. 59(5). 977–977. 2 indexed citations
4.
Thongprayoon, Charat, Supawit Tangpanithandee, Caroline C. Jadlowiec, et al.. (2023). Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care. Journal of Personalized Medicine. 13(8). 1273–1273. 1 indexed citations
5.
Tangpanithandee, Supawit, Charat Thongprayoon, Pajaree Krisanapan, et al.. (2023). Distinct Subtypes of Hepatorenal Syndrome and Associated Outcomes as Identified by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 11(1). 18–18. 3 indexed citations
6.
Thongprayoon, Charat, Jing Miao, Caroline C. Jadlowiec, et al.. (2023). Differences between Kidney Transplant Recipients from Deceased Donors with Diabetes Mellitus as Identified by Machine Learning Consensus Clustering. Journal of Personalized Medicine. 13(7). 1094–1094. 2 indexed citations
7.
Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Differences between kidney retransplant recipients as identified by machine learning consensus clustering. Clinical Transplantation. 37(5). e14943–e14943. 2 indexed citations
8.
Tangpanithandee, Supawit, Charat Thongprayoon, Caroline C. Jadlowiec, et al.. (2022). Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering. Medicina. 58(12). 1831–1831. 2 indexed citations
9.
Thongprayoon, Charat, Yeshwanter Radhakrishnan, Caroline C. Jadlowiec, et al.. (2022). Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering. Journal of Personalized Medicine. 12(12). 1992–1992. 3 indexed citations
10.
Thongprayoon, Charat, Pattharawin Pattharanitima, Andrea G. Kattah, et al.. (2022). Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury. Journal of Clinical Medicine. 11(21). 6264–6264. 18 indexed citations
11.
Pattharanitima, Pattharawin, Charat Thongprayoon, Wisit Kaewput, et al.. (2021). Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis. Journal of Clinical Medicine. 10(21). 5021–5021. 11 indexed citations
12.
Thongprayoon, Charat, Javier A. Neyra, Panupong Hansrivijit, et al.. (2020). Serum Klotho in Living Kidney Donors and Kidney Transplant Recipients: A Meta-Analysis. Journal of Clinical Medicine. 9(6). 1834–1834. 16 indexed citations
13.
Kaewput, Wisit, Charat Thongprayoon, Boonphiphop Boonpheng, et al.. (2020). Inpatient Burden and Mortality of Goodpasture’s Syndrome in the United States: Nationwide Inpatient Sample 2003–2014. Journal of Clinical Medicine. 9(2). 455–455. 12 indexed citations
14.
Cheungpasitporn, Wisit, Charat Thongprayoon, Michael A. Mao, et al.. (2020). The impact of race on hospitalization outcomes for goodpasture’s syndrome in the United States: nationwide inpatient sample 2003–2014. Hospital Practice. 49(1). 22–26.
15.
Thongprayoon, Charat, Tananchai Petnak, Swetha Rani Kanduri, et al.. (2020). Impact of rhabdomyolysis on outcomes of hospitalizations for heat stroke in the United States. Hospital Practice. 48(5). 276–281. 16 indexed citations
16.
Hansrivijit, Panupong, Ploypin Lertjitbanjong, Charat Thongprayoon, et al.. (2019). Acute Kidney Injury in Pediatric Patients on Extracorporeal Membrane Oxygenation: A Systematic Review and Meta-analysis. SHILAP Revista de lepidopterología. 6(4). 109–109. 19 indexed citations
17.
Chewcharat, Api, Narothama Reddy Aeddula, Boonphiphop Boonpheng, et al.. (2019). Incidence and Mortality of Renal Cell Carcinoma after Kidney Transplantation: A Meta-Analysis. Journal of Clinical Medicine. 8(4). 530–530. 25 indexed citations
18.
Thongprayoon, Charat, Ploypin Lertjitbanjong, Panupong Hansrivijit, et al.. (2019). Acute Kidney Injury in Patients Undergoing Cardiac Transplantation: A Meta-Analysis. SHILAP Revista de lepidopterología. 6(4). 108–108. 35 indexed citations
19.
Thongprayoon, Charat, Wisit Kaewput, Natanong Thamcharoen, et al.. (2019). Acute Kidney Injury in Patients Undergoing Total Hip Arthroplasty: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 8(1). 66–66. 25 indexed citations
20.
Thongprayoon, Charat, Ronpichai Chokesuwattanaskul, Tarun Bathini, et al.. (2018). Epidemiology and Prognostic Importance of Atrial Fibrillation in Kidney Transplant Recipients: A Meta-Analysis. Journal of Clinical Medicine. 7(10). 370–370. 16 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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