Ryoichi Goto

1.6k citations
41 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
T-cell and B-cell Immunology (13 papers)Immune Cell Function and Interaction (11 papers)Renal Transplantation Outcomes and Treatments (10 papers)
Journals
SHILAP Revista de lepidopterologíaHepatologyAmerican Journal Of Pathology

In The Last Decade

Ryoichi Goto

36 papers receiving 1.2k citations

Hit Papers

A pilot study of operational tolerance with a regulatory ...20162026201920222016100200300

Peers

Ryoichi Goto
Comparison fields: 5 of 79
  • Immunology 589
  • Surgery 467
  • Transplantation 360
  • Hepatology 173
  • Oncology 151
Replace Zihao Wu with:
Zihao Wu China
Veena Shah United States
BONNIE J. LINDMAN United States
Gaoping Zhao China
Jan A. Bruijn Netherlands
M Hisanaga Japan
Ce Shi China
Ricardo C. Gehrau United States
Bagavathi Gopalakrishnan United States
Guoqiang Li China
Ryoichi Goto relative to Zihao Wu China Zihao Wu's profile →
Citations per field
00.5×9.6×
Zihao Wu · 1×
Citations per year

Countries citing papers authored by Ryoichi Goto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed citations
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2 7
3 1
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6 0
7 4
8 4
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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.

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