P I Terasaki
- Immunology top 2%
- Surgery top 2%
- Transplantation top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Hematology top 2%
- Co-authors
- Gerhard OpelzM. R. MickeyD.P.S. SengarJ. Michael CeckaMasahiro KiuchiMitsuo TakasugiNorman S. NamerowSetsuya Naito
- Topics
- Renal Transplantation Outcomes and Treatments (50 papers)Organ Transplantation Techniques and Outcomes (36 papers)Organ Donation and Transplantation (26 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
P I Terasaki
111 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 1.3k
- Surgery 1.1k
- Transplantation 1.1k
- Public Health, Environmental and Occupational Health 611
- Hematology 572
Countries citing papers authored by P I Terasaki
This map shows the geographic impact of P I Terasaki'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 P I Terasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P I Terasaki more than expected).
Fields of papers citing papers by P I Terasaki
This network shows the impact of papers produced by P I Terasaki. 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 P I Terasaki. The network helps show where P I Terasaki may publish in the future.
Co-authorship network of co-authors of P I Terasaki
This figure shows the co-authorship network connecting the top 25 collaborators of P I Terasaki. A scholar is included among the top collaborators of P I Terasaki 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 P I Terasaki. P I Terasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | Pediatric renal transplantation: a review of the UNOS data. United Network for Organ Sharing. | 94 |
| 6 | Advances in kidney transplantation: 1985-1995. | 13 |
| 7 | 26 | |
| 8 | 9 | |
| 9 | Outcome of renal transplantation in blacks. | 8 |
| 10 | HLA frequencies in cancer: a third study. | 3 |
| 11 | Evidence for a second B-cell locus separate from the DR locus. | 15 |
| 12 | 25 | |
| 13 | 39 | |
| 14 | 52 | |
| 15 | 280 | |
| 16 | 24 | |
| 17 | 29 | |
| 18 | 34 | |
| 19 | Heterologous antilymphocyte glubulin, histoincompatiblity matching, and human renal homotransplantation. | 33 |
| 20 | 42 |
About P I Terasaki
P I Terasaki is a scholar working on Transplantation, Hematology and Immunology, having authored 112 papers that have together received 3.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (50 papers), Organ Transplantation Techniques and Outcomes (36 papers) and Organ Donation and Transplantation (26 papers). The work is most often cited by research in Transplantation (1.1k citations), Immunology (1.3k citations) and Biochemistry (323 citations). P I Terasaki has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gerhard Opelz, M. R. Mickey, D.P.S. Sengar, J. Michael Cecka, Masahiro Kiuchi, Mitsuo Takasugi, Norman S. Namerow, Setsuya Naito, David W. Gjertson and Peter J. Morris. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.