Seigo Abiru
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Liver Diseases and Immunity
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 32
- Hepatitis C virus research 17
- Liver Diseases and Immunity 9
- Liver physiology and pathology 3
- Liver Disease and Transplantation 3
- Epidemiology 32
- Liver Disease Diagnosis and Treatment 27
- Hepatitis B Virus Studies 18
- Co-authors
- Hiroshi YatsuhashiAtsumasa KomoriKiyoshi MigitaHiromi IshibashiShinya NagaokaMinoru NakamuraKoji YanoYümi Maeda
- Journals
- Journal of Hepatology (5 papers)Liver International (4 papers)PLoS ONE (4 papers)FEBS Letters (3 papers)Hepatology Research (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Seigo Abiru
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Hepatology 866
- Epidemiology 965
- Rheumatology 142
- Immunology 167
- Hematology 86
Countries citing papers authored by Seigo Abiru
This map shows the geographic impact of Seigo Abiru'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 Seigo Abiru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seigo Abiru more than expected).
Fields of papers citing papers by Seigo Abiru
This network shows the impact of papers produced by Seigo Abiru. 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 Seigo Abiru. The network helps show where Seigo Abiru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seigo Abiru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 16 | |
| 2 | 2019 | 12 | |
| 3 | 2018 | 1 | |
| 4 | 2018 | 7 | |
| 5 | 2016 | 76 | |
| 6 | 2015 | 66 | |
| 7 | 2014 | 190 | |
| 8 | 2012 | 5 | |
| 9 | 2011 | 36 | |
| 10 | 2011 | 6 | |
| 11 | 2010 | 1 | |
| 12 | 2009 | 36 | |
| 13 | 2008 | 2 | |
| 14 | 2007 | 19 | |
| 15 | 2007 | 56 | |
| 16 | 2006 | 3 | |
| 17 | 2006 | 38 | |
| 18 | 2005 | 21 | |
| 19 | 2005 | 30 | |
| 20 | 2004 | 133 |
About Seigo Abiru
Seigo Abiru is a scholar working on Hepatology, Epidemiology, Rheumatology, Immunology and Biological Psychiatry, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (27 papers), Hepatitis B Virus Studies (18 papers), Hepatitis C virus research (17 papers), Liver Diseases and Immunity (9 papers), Systemic Lupus Erythematosus Research (7 papers), Inflammasome and immune disorders (5 papers), Liver physiology and pathology (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Hepatology (866 citations), Epidemiology (965 citations), Rheumatology (142 citations), Immunology (167 citations) and Hematology (86 citations). Seigo Abiru has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Hiroshi Yatsuhashi, Atsumasa Komori, Kiyoshi Migita, Hiromi Ishibashi, Shinya Nagaoka, Minoru Nakamura, Koji Yano, Yümi Maeda, Katsumi Eguchi and Manabu Daikoku. Their work appears in journals such as Journal of Hepatology, Liver International, PLoS ONE, FEBS Letters and Hepatology Research.
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.