Ryoichi Goto
- Immunology top 5%
- Surgery top 10%
- Transplantation top 1%
- Hepatology top 5%
- Oncology
- Co-authors
- Kathryn J. WoodSatoru TodoMasaaki ZaitsuFadi IssaTsuyoshi ShimamuraJoanna HesterSatish N. NadigMasaaki Watanabe
- Topics
- T-cell and B-cell Immunology (13 papers)Immune Cell Function and Interaction (11 papers)Renal Transplantation Outcomes and Treatments (10 papers)
- Cited by
- TransplantationImmunologyHepatology
- Journals
- SHILAP Revista de lepidopterologíaHepatologyAmerican Journal Of Pathology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Ryoichi Goto
36 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 589
- Surgery 467
- Transplantation 360
- Hepatology 173
- Oncology 151
Countries citing papers authored by Ryoichi Goto
This map shows the geographic impact of Ryoichi Goto'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 Ryoichi Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoichi Goto more than expected).
Fields of papers citing papers by Ryoichi Goto
This network shows the impact of papers produced by Ryoichi Goto. 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 Ryoichi Goto. The network helps show where Ryoichi Goto may publish in the future.
Co-authorship network of co-authors of Ryoichi Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Ryoichi Goto. A scholar is included among the top collaborators of Ryoichi Goto 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 Ryoichi Goto. Ryoichi Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 0 | |
| 12 | 21 | |
| 13 | A pilot study of operational tolerance with a regulatory T‐cell‐based cell therapy in living donor liver transplantationbreakdown → | 323 |
| 14 | Tissue targeted regulatory T cell therapy prevents human skin allograft rejection in a humanised mouse model | 1 |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 28 | |
| 18 | 19 | |
| 19 | 31 | |
| 20 | 157 |
About Ryoichi Goto
Ryoichi Goto is a scholar working on Transplantation, Hepatology and Immunology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers) and Renal Transplantation Outcomes and Treatments (10 papers). The work is most often cited by research in Transplantation (360 citations), Immunology (589 citations) and Hepatology (173 citations). Ryoichi Goto has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kathryn J. Wood, Satoru Todo, Masaaki Zaitsu, Fadi Issa, Tsuyoshi Shimamura, Joanna Hester, Satish N. Nadig, Masaaki Watanabe, Kenichiro Yamashita and Tim Goodacre. Their work appears in journals such as SHILAP Revista de lepidopterología, Hepatology and American Journal Of Pathology.
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.