Kazuhiro Takimoto
- Physiology top 10%
- Lysosomal Storage Disorders Research 3
- Cell Biology top 10%
- Cellular transport and secretion 2
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies 3
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- Viral gastroenteritis research and epidemiology 5
- SARS-CoV-2 and COVID-19 Research 2
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- Glycosylation and Glycoproteins Research 4
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- Virus-based gene therapy research 2
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- Animal Disease Management and Epidemiology 2
- Co-authors
- Junichiro MatsudaYasuko YamadaYoshiyuki SuzukiYoshie YamamotoOsamu SuzukiAkihiro OshimaSeiichiro OgawaRoscoe O. Brady
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Annals of Neurology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kazuhiro Takimoto
16 papers receiving 486 citations
Peers
Comparison fields: 5 of 73
- Physiology 272
- Cell Biology 153
- Animal Science and Zoology 49
- Infectious Diseases 80
- Epidemiology 146
Countries citing papers authored by Kazuhiro Takimoto
This map shows the geographic impact of Kazuhiro Takimoto'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 Kazuhiro Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Takimoto more than expected).
Fields of papers citing papers by Kazuhiro Takimoto
This network shows the impact of papers produced by Kazuhiro Takimoto. 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 Kazuhiro Takimoto. The network helps show where Kazuhiro Takimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuhiro Takimoto, 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 | 2022 | 3 | |
| 2 | 2016 | 5 | |
| 3 | 2014 | 13 | |
| 4 | 2013 | 5 | |
| 5 | 2011 | 17 | |
| 6 | 2008 | 12 | |
| 7 | 2007 | 52 | |
| 8 | Lymphocytic choriomeningitis infection undetected by dirty-bedding sentinel monitoring and revealed after embryo transfer of an inbred strain derived from wild mice. | 2007 | 30 |
| 9 | 2003 | 214 | |
| 10 | 2000 | 1 | |
| 11 | 1998 | 6 | |
| 12 | 1998 | 11 | |
| 13 | 1997 | 39 | |
| 14 | 1997 | 75 | |
| 15 | 1997 | 11 | |
| 16 | Lysosomal glycolipid storage in the renal tubular epithelium in mastomys (Praomys coucha). | 1996 | 8 |
About Kazuhiro Takimoto
Kazuhiro Takimoto is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science, having authored 16 papers that have together received 502 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Lysosomal Storage Disorders Research (3 papers), Animal Virus Infections Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Virus-based gene therapy research (2 papers), Cellular transport and secretion (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Physiology (272 citations), Cell Biology (153 citations) and Animal Science and Zoology (49 citations). Kazuhiro Takimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Junichiro Matsuda, Yasuko Yamada, Yoshiyuki Suzuki, Yoshie Yamamoto, Osamu Suzuki, Akihiro Oshima, Seiichiro Ogawa, Roscoe O. Brady, Katsumi Higaki and Hiroshi Watanabe. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Annals of Neurology.
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.