T Sodeyama
- Hepatology top 2%
- Epidemiology top 10%
- Infectious Diseases
- Rheumatology
- Oncology
- Co-authors
- K KiyosawaMasakazu KobayashiAkihiro MatsumotoSeiichi FurutaAkihiko UrushiharaEihachiro TanakaKendo KiyosawaEiji Tanaka
- Topics
- Hepatitis C virus research (13 papers)Liver Disease Diagnosis and Treatment (10 papers)Hepatitis B Virus Studies (9 papers)
- Partner nations
- JapanUnited States
In The Last Decade
T Sodeyama
19 papers receiving 523 citations
Peers
Comparison fields: 5 of 55
- Hepatology 464
- Epidemiology 439
- Infectious Diseases 43
- Rheumatology 31
- Oncology 22
Countries citing papers authored by T Sodeyama
This map shows the geographic impact of T Sodeyama'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 T Sodeyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Sodeyama more than expected).
Fields of papers citing papers by T Sodeyama
This network shows the impact of papers produced by T Sodeyama. 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 T Sodeyama. The network helps show where T Sodeyama may publish in the future.
Co-authorship network of co-authors of T Sodeyama
This figure shows the co-authorship network connecting the top 25 collaborators of T Sodeyama. A scholar is included among the top collaborators of T Sodeyama 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 T Sodeyama. T Sodeyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Global epidemiology of hepatocellular carcinoma]. | 7 |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 136 | |
| 7 | 130 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 84 | |
| 11 | 9 | |
| 12 | 27 | |
| 13 | 35 | |
| 14 | [Anti-HCV and long-term prognosis in patients with non-A, non-B post-transfusion hepatitis]. | 3 |
| 15 | Comparative study of clinical, histological, and immunological responses to interferon therapy in type non-A, non-B, and type B chronic hepatitis. | 28 |
| 16 | [Infection by non-A, non-B acute viral hepatitis in hospital employees]. | 2 |
| 17 | 1 | |
| 18 | Evolution of HBeAg/anti-HBe status and its relationship to clinical and histological outcome in chronic HBV carriers in childhood. | 10 |
| 19 | Epidemiology of sporadic acute non-A, non-B hepatitis in Japan: a comparison with hepatitis A and B. | 8 |
About T Sodeyama
T Sodeyama is a scholar working on Hepatology, Epidemiology and Pharmacy, having authored 19 papers that have together received 536 indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis B Virus Studies (9 papers). The work is most often cited by research in Hepatology (464 citations), Epidemiology (439 citations) and Infectious Diseases (43 citations). T Sodeyama has collaborated with scholars based in Japan and United States. Frequent co-authors include K Kiyosawa, Masakazu Kobayashi, Akihiro Matsumoto, Seiichi Furuta, Akihiko Urushihara, Eihachiro Tanaka, Kendo Kiyosawa, Eiji Tanaka, Kiyoshi Furuta and Yoshiyuki Nakano. Their work appears in journals such as Gastroenterology, Hepatology and Journal of Medical Virology.
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.