Motohiro Arao
- Hepatology top 5%
- Epidemiology top 10%
- Immunology
- Rheumatology
- Hematology
- Co-authors
- Yasuhiko TsutsumiKentaro YoshiokaMasaki InoueShinichi KakumuTakaji WakitaTetsuya IshikawaHisao HayashiMotoyoshi Yano
- Topics
- Liver Disease Diagnosis and Treatment (14 papers)Hepatitis C virus research (8 papers)Liver Diseases and Immunity (6 papers)
- Cited by
- HepatologyEpidemiologyHematology
- Partner nations
- Japan
In The Last Decade
Motohiro Arao
17 papers receiving 409 citations
Peers
Comparison fields: 5 of 58
- Hepatology 289
- Epidemiology 277
- Immunology 53
- Rheumatology 49
- Hematology 46
Countries citing papers authored by Motohiro Arao
This map shows the geographic impact of Motohiro Arao'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 Motohiro Arao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motohiro Arao more than expected).
Fields of papers citing papers by Motohiro Arao
This network shows the impact of papers produced by Motohiro Arao. 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 Motohiro Arao. The network helps show where Motohiro Arao may publish in the future.
Co-authorship network of co-authors of Motohiro Arao
This figure shows the co-authorship network connecting the top 25 collaborators of Motohiro Arao. A scholar is included among the top collaborators of Motohiro Arao 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 Motohiro Arao. Motohiro Arao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 85 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | Biochemical improvement of chronic hepatitis C after gastrointestinal bleeding. | 5 |
| 6 | Hepatic copper accumulation in patients with primary biliary cirrhosis. | 2 |
| 7 | 41 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 14 | |
| 11 | 18 | |
| 12 | 100 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | Pre-S proteins in chronic hepatitis B virus infection: markers of active viral infection. | 7 |
| 16 | Pilot study of recombinant human alpha-interferon for chronic non-A, non-B hepatitis. | 17 |
| 17 | Occurrence of immunohistochemically detected small Mallory bodies in liver disease. | 6 |
About Motohiro Arao
Motohiro Arao is a scholar working on Hepatology, Epidemiology and Biochemistry, having authored 17 papers that have together received 427 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Hepatitis C virus research (8 papers) and Liver Diseases and Immunity (6 papers). The work is most often cited by research in Hepatology (289 citations), Epidemiology (277 citations) and Hematology (46 citations). Motohiro Arao has collaborated with scholars based in Japan. Frequent co-authors include Yasuhiko Tsutsumi, Kentaro Yoshioka, Masaki Inoue, Shinichi Kakumu, Kentaro Yoshioka, Takaji Wakita, Tetsuya Ishikawa, Hisao Hayashi, Motoyoshi Yano and Toshikuni Takikawa. Their work appears in journals such as Hepatology, The American Journal of Gastroenterology and Journal of Clinical 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.