Yuko Ootsuyama
- Hepatology top 0.2%
- Epidemiology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Rheumatology top 2%
- Co-authors
- Kunitada ShimotohnoNobuyuki KatoMakoto HijikataShogo OhkoshiT SugimuraHitomi SekiyaMasanori NakagawaTakahiro Nakazawa
- Topics
- Hepatitis C virus research (15 papers)Hepatitis B Virus Studies (14 papers)Viral Infections and Immunology Research (5 papers)
- Cited by
- HepatologyEpidemiologyVirology
- Journals
- Proceedings of the National Academy of SciencesJournal of VirologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yuko Ootsuyama
16 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Hepatology 2.9k
- Epidemiology 2.1k
- Radiology, Nuclear Medicine and Imaging 691
- Molecular Biology 472
- Rheumatology 354
Countries citing papers authored by Yuko Ootsuyama
This map shows the geographic impact of Yuko Ootsuyama'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 Yuko Ootsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Ootsuyama more than expected).
Fields of papers citing papers by Yuko Ootsuyama
This network shows the impact of papers produced by Yuko Ootsuyama. 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 Yuko Ootsuyama. The network helps show where Yuko Ootsuyama may publish in the future.
Co-authorship network of co-authors of Yuko Ootsuyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Ootsuyama. A scholar is included among the top collaborators of Yuko Ootsuyama 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 Yuko Ootsuyama. Yuko Ootsuyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 22 | |
| 3 | 57 | |
| 4 | 170 | |
| 5 | 322 | |
| 6 | 113 | |
| 7 | 151 | |
| 8 | 131 | |
| 9 | 23 | |
| 10 | 301 | |
| 11 | 42 | |
| 12 | Gene mapping of the putative structural region of the hepatitis C virus genome by in vitro processing analysis.breakdown → | 539 |
| 13 | 49 | |
| 14 | 5 | |
| 15 | Molecular cloning of the human hepatitis C virus genome from Japanese patients with non-A, non-B hepatitis.breakdown → | 1086 |
| 16 | Myristylation of gag protein in human T-cell leukemia virus type-I and type-II. | 23 |
About Yuko Ootsuyama
Yuko Ootsuyama is a scholar working on Hepatology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Hepatitis B Virus Studies (14 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Hepatology (2.9k citations), Epidemiology (2.1k citations) and Virology (226 citations). Yuko Ootsuyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kunitada Shimotohno, Nobuyuki Kato, Makoto Hijikata, Shogo Ohkoshi, T Sugimura, Hitomi Sekiya, Masanori Nakagawa, Takahiro Nakazawa, Takahide Nakazawa and Showgo Ohkoshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Biochemical and Biophysical Research Communications.
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.