Steven K. Takemoto
- Surgery top 1%
- Transplantation top 0.1%
- Public Health, Environmental and Occupational Health top 1%
- Immunology top 10%
- Nephrology top 1%
- Co-authors
- Paul I. TerasakiJ. Michael CeckaDavid W. GjertsonRachel M. McKennaSuphamai BunnapradistAlfred C. KuoSigurd BervenKevin J. Bozic
- Topics
- Renal Transplantation Outcomes and Treatments (27 papers)Organ Transplantation Techniques and Outcomes (14 papers)Organ Donation and Transplantation (7 papers)
- Cited by
- TransplantationSurgeryNephrology
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Steven K. Takemoto
62 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Surgery 2.6k
- Transplantation 2.0k
- Public Health, Environmental and Occupational Health 1.1k
- Immunology 407
- Nephrology 397
Countries citing papers authored by Steven K. Takemoto
This map shows the geographic impact of Steven K. Takemoto'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 Steven K. Takemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven K. Takemoto more than expected).
Fields of papers citing papers by Steven K. Takemoto
This network shows the impact of papers produced by Steven K. Takemoto. 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 Steven K. Takemoto. The network helps show where Steven K. Takemoto may publish in the future.
Co-authorship network of co-authors of Steven K. Takemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Steven K. Takemoto. A scholar is included among the top collaborators of Steven K. Takemoto 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 Steven K. Takemoto. Steven K. Takemoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 56 | |
| 3 | 102 | |
| 4 | 117 | |
| 5 | 123 | |
| 6 | 48 | |
| 7 | 18 | |
| 8 | 123 | |
| 9 | 7 | |
| 10 | 102 | |
| 11 | 23 | |
| 12 | 40 | |
| 13 | 40 | |
| 14 | 265 | |
| 15 | 1 | |
| 16 | 176 | |
| 17 | 304 | |
| 18 | 110 | |
| 19 | High Survival Rates of Kidney Transplants from Spousal and Living Unrelated Donorsbreakdown → | 935 |
| 20 | 3 |
About Steven K. Takemoto
Steven K. Takemoto is a scholar working on Transplantation, Surgery and Nephrology, having authored 62 papers that have together received 4.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (27 papers), Organ Transplantation Techniques and Outcomes (14 papers) and Organ Donation and Transplantation (7 papers). The work is most often cited by research in Transplantation (2.0k citations), Surgery (2.6k citations) and Nephrology (397 citations). Steven K. Takemoto has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Paul I. Terasaki, J. Michael Cecka, David W. Gjertson, Rachel M. McKenna, Suphamai Bunnapradist, Alfred C. Kuo, Sigurd Berven, Kevin J. Bozic, Mark A. Schnitzler and Krista L. Lentine. Their work appears in journals such as New England Journal of Medicine, The Lancet and Blood.
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.