Steven K. Takemoto
- Transplantation top 0.1%
- Renal Transplantation Outcomes and Treatments 27
- Surgery top 1%
- Organ Transplantation Techniques and Outcomes 14
- Orthopedic Infections and Treatments 7
- Transplantation: Methods and Outcomes 7
- Orthopaedic implants and arthroplasty 6
- Nephrology top 1%
-
- Organ Donation and Transplantation 7
- Hepatology top 5%
-
- Cardiac, Anesthesia and Surgical Outcomes 6
-
- Cytomegalovirus and herpesvirus research 6
- Co-authors
- Paul I. TerasakiJ. Michael CeckaDavid W. GjertsonRachel M. McKennaSuphamai BunnapradistAlfred C. KuoSigurd BervenKevin J. Bozic
- 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
- Transplantation 2.0k
- Surgery 2.6k
- Nephrology 397
- Public Health, Environmental and Occupational Health 1.1k
- Hepatology 176
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
The 25 scholars most cited alongside Steven K. Takemoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 15 | |
| 2 | 2013 | 56 | |
| 3 | 2013 | 102 | |
| 4 | 2013 | 117 | |
| 5 | 2013 | 123 | |
| 6 | 2010 | 48 | |
| 7 | 2008 | 18 | |
| 8 | 2008 | 123 | |
| 9 | 2008 | 7 | |
| 10 | 2007 | 102 | |
| 11 | 2006 | 23 | |
| 12 | 2006 | 40 | |
| 13 | 2003 | 40 | |
| 14 | 2002 | 265 | |
| 15 | 2002 | 1 | |
| 16 | 2000 | 176 | |
| 17 | 2000 | 304 | |
| 18 | 2000 | 110 | |
| 19 | High Survival Rates of Kidney Transplants from Spousal and Living Unrelated Donorsbreakdown → | 1995 | 935 |
| 20 | 1994 | 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), Organ Donation and Transplantation (7 papers), Orthopedic Infections and Treatments (7 papers), Transplantation: Methods and Outcomes (7 papers), Orthopaedic implants and arthroplasty (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Cytomegalovirus and herpesvirus research (6 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.