Tomoko Urasawa
- Infectious Diseases top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Animal Science and Zoology top 0.2%
- Genetics top 5%
- Hepatology top 1%
- Co-authors
- Shozo UrasawaK. TaniguchiKoki TaniguchiNobumichi KobayashiYasuyuki MORITAKeigo TaniguchiS. UrasawaF. Wakasugi
- Topics
- Viral gastroenteritis research and epidemiology (79 papers)Viral Infections and Immunology Research (34 papers)Virus-based gene therapy research (28 papers)
- Partner nations
- JapanPhilippinesUnited States
In The Last Decade
Tomoko Urasawa
83 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 3.0k
- Cardiology and Cardiovascular Medicine 1.6k
- Animal Science and Zoology 1.3k
- Genetics 711
- Hepatology 617
Countries citing papers authored by Tomoko Urasawa
This map shows the geographic impact of Tomoko Urasawa'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 Tomoko Urasawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Urasawa more than expected).
Fields of papers citing papers by Tomoko Urasawa
This network shows the impact of papers produced by Tomoko Urasawa. 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 Tomoko Urasawa. The network helps show where Tomoko Urasawa may publish in the future.
Co-authorship network of co-authors of Tomoko Urasawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Urasawa. A scholar is included among the top collaborators of Tomoko Urasawa 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 Tomoko Urasawa. Tomoko Urasawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Analysis of human rotavirus G serotype in Bangladesh by enzyme-linked immunosorbent assay and polymerase chain reaction. | 3 |
| 2 | 45 | |
| 3 | 44 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | Survey on the distribution of the gene 4 alleles of human rotaviruses by polymerase chain reaction. | 6 |
| 9 | 19 | |
| 10 | 59 | |
| 11 | 9 | |
| 12 | 14 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | 109 | |
| 16 | 119 | |
| 17 | 63 | |
| 18 | Preparation of a Human Rotavirus Reassortant with Dual Serotype Specificity,VP3 of Serotype 4 and VP7 of Serotype 3 | 2 |
| 19 | 血清型1特異的、2特異的、3特異的および4特異的モノクローナル抗体を用いた酵素結合免疫吸着検定法による便中ヒトロタウイルスの直接血清型決定 | 1 |
| 20 | 3 |
About Tomoko Urasawa
Tomoko Urasawa is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 84 papers that have together received 3.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (79 papers), Viral Infections and Immunology Research (34 papers) and Virus-based gene therapy research (28 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Animal Science and Zoology (1.3k citations) and Hepatology (617 citations). Tomoko Urasawa has collaborated with scholars based in Japan, Philippines and United States. Frequent co-authors include Shozo Urasawa, K. Taniguchi, Koki Taniguchi, Nobumichi Kobayashi, Yasuyuki MORITA, Keigo Taniguchi, S. Urasawa, F. Wakasugi, S. Chiba and Harry B. Greenberg. Their work appears in journals such as The Lancet, The Journal of Immunology and Journal of 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.