Toshihiko Ikegami
- Surgery top 1%
- Hepatology top 0.2%
- Public Health, Environmental and Occupational Health top 2%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Yasuhiko HashikuraSeiji KawasakiHidetoshi MatsunamiMasatoshi MakuuchiKoichi UrataYūichi NakazawaShinichi MiyagawaMasaru Terada
- Topics
- Organ Transplantation Techniques and Outcomes (46 papers)Liver Disease and Transplantation (45 papers)Liver Disease Diagnosis and Treatment (15 papers)
- Cited by
- HepatologySurgeryTransplantation
- Partner nations
- JapanChinaUnited States
In The Last Decade
Toshihiko Ikegami
77 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Surgery 2.3k
- Hepatology 2.1k
- Public Health, Environmental and Occupational Health 791
- Epidemiology 740
- Pulmonary and Respiratory Medicine 328
Countries citing papers authored by Toshihiko Ikegami
This map shows the geographic impact of Toshihiko Ikegami'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 Toshihiko Ikegami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiko Ikegami more than expected).
Fields of papers citing papers by Toshihiko Ikegami
This network shows the impact of papers produced by Toshihiko Ikegami. 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 Toshihiko Ikegami. The network helps show where Toshihiko Ikegami may publish in the future.
Co-authorship network of co-authors of Toshihiko Ikegami
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiko Ikegami. A scholar is included among the top collaborators of Toshihiko Ikegami 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 Toshihiko Ikegami. Toshihiko Ikegami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 35 | |
| 6 | 32 | |
| 7 | 7 | |
| 8 | 38 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 54 | |
| 12 | 7 | |
| 13 | 26 | |
| 14 | 355 | |
| 15 | 98 | |
| 16 | 25 | |
| 17 | Calculation of child and adult standard liver volume for liver transplantationbreakdown → | 790 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Toshihiko Ikegami
Toshihiko Ikegami is a scholar working on Hepatology, Transplantation and Surgery, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (46 papers), Liver Disease and Transplantation (45 papers) and Liver Disease Diagnosis and Treatment (15 papers). The work is most often cited by research in Hepatology (2.1k citations), Surgery (2.3k citations) and Transplantation (122 citations). Toshihiko Ikegami has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yasuhiko Hashikura, Seiji Kawasaki, Hidetoshi Matsunami, Masatoshi Makuuchi, Koichi Urata, Yūichi Nakazawa, Shinichi Miyagawa, Masaru Terada, Yoshitaka Momose and Atsushi Komiyama. Their work appears in journals such as Annals of Internal Medicine, Hepatology and Annals of Surgery.
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.