Katsuo Uchiumi
- Hepatology top 2%
- Hepatitis C virus research 11
- Liver Diseases and Immunity 2
- Epidemiology top 5%
- Hepatitis B Virus Studies 13
- Liver Disease Diagnosis and Treatment 7
- Animal Science and Zoology top 10%
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- HIV/AIDS drug development and treatment 7
- Viral gastroenteritis research and epidemiology 2
- Pharmacology top 10%
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- Drug Transport and Resistance Mechanisms 3
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- Viral Infections and Immunology Research 1
- Co-authors
- Osamu YokosukaMasao OmataYoshimi ITOFumio ImazekiKunio OkudaJunko MoriMasao OhtoSusumu Takano
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Katsuo Uchiumi
19 papers receiving 544 citations
Peers
Comparison fields: 5 of 45
- Hepatology 402
- Epidemiology 496
- Animal Science and Zoology 73
- Infectious Diseases 108
- Pharmacology 43
Countries citing papers authored by Katsuo Uchiumi
This map shows the geographic impact of Katsuo Uchiumi'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 Katsuo Uchiumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuo Uchiumi more than expected).
Fields of papers citing papers by Katsuo Uchiumi
This network shows the impact of papers produced by Katsuo Uchiumi. 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 Katsuo Uchiumi. The network helps show where Katsuo Uchiumi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katsuo Uchiumi, 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 | 2004 | 7 | |
| 2 | 1994 | 85 | |
| 3 | 1990 | 20 | |
| 4 | 1989 | 1 | |
| 5 | 1989 | 62 | |
| 6 | 1987 | 8 | |
| 7 | 1987 | 2 | |
| 8 | 1987 | 29 | |
| 9 | 1986 | 11 | |
| 10 | 1985 | 17 | |
| 11 | Early events in duck hepatitis b virus infection sequential appearance of viral dna in the liver pancreas kidney and spleen | 1985 | 2 |
| 12 | 1985 | 78 | |
| 13 | Early events in duck hepatitis B virus infection. Sequential appearance of viral deoxyribonucleic acid in the liver, pancreas, kidney, and spleen. | 1985 | 48 |
| 14 | 1985 | 49 | |
| 15 | [Delta infection in Japan: a serological study]. | 1985 | 1 |
| 16 | 1985 | 38 | |
| 17 | 1984 | 3 | |
| 18 | 1984 | 41 | |
| 19 | 1983 | 64 |
About Katsuo Uchiumi
Katsuo Uchiumi is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 566 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (11 papers), Liver Disease Diagnosis and Treatment (7 papers), HIV/AIDS drug development and treatment (7 papers), Drug Transport and Resistance Mechanisms (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Liver Diseases and Immunity (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Hepatology (402 citations), Epidemiology (496 citations) and Animal Science and Zoology (73 citations). Katsuo Uchiumi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Osamu Yokosuka, Masao Omata, Yoshimi ITO, Fumio Imazeki, Kunio Okuda, Junko Mori, Masao Ohto, Susumu Takano, Katsutaro Hirota and Masami Tagawa. Their work appears in journals such as Gastroenterology, Hepatology and Journal of Hepatology.
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.