Takuhiro Sonoyama
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 20
- COVID-19 Clinical Research Studies 14
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- Hormonal Regulation and Hypertension 5
- Physiology top 10%
- Adipose Tissue and Metabolism 5
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- Long-Term Effects of COVID-19 7
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- Animal Virus Infections Studies 5
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- Adrenal and Paraganglionic Tumors 4
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- Pluripotent Stem Cells Research 3
- Co-authors
- Masakatsu SoneKazuwa NakaoNaohisa TamuraDaisuke TauraMegumi InuzukaHiroshi ItohYasutomo FukunagaKazutoshi Miyashita
- Cited by
- Infectious DiseasesEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Diabetes (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takuhiro Sonoyama
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Infectious Diseases 310
- Endocrinology, Diabetes and Metabolism 193
- Cardiology and Cardiovascular Medicine 233
- Biological Psychiatry 23
- Physiology 221
Countries citing papers authored by Takuhiro Sonoyama
This map shows the geographic impact of Takuhiro Sonoyama'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 Takuhiro Sonoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuhiro Sonoyama more than expected).
Fields of papers citing papers by Takuhiro Sonoyama
This network shows the impact of papers produced by Takuhiro Sonoyama. 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 Takuhiro Sonoyama. The network helps show where Takuhiro Sonoyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takuhiro Sonoyama, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 29 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 90 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 0 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 47 | |
| 16 | 2017 | 55 | |
| 17 | 2014 | 20 | |
| 18 | 2011 | 41 | |
| 19 | 2010 | 31 | |
| 20 | 2008 | 36 |
About Takuhiro Sonoyama
Takuhiro Sonoyama is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology and Animal Science and Zoology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (14 papers), Long-Term Effects of COVID-19 (7 papers), Animal Virus Infections Studies (5 papers), Hormonal Regulation and Hypertension (5 papers), Adipose Tissue and Metabolism (5 papers), Adrenal and Paraganglionic Tumors (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Infectious Diseases (310 citations), Endocrinology, Diabetes and Metabolism (193 citations) and Cardiology and Cardiovascular Medicine (233 citations). Takuhiro Sonoyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masakatsu Sone, Kazuwa Nakao, Naohisa Tamura, Daisuke Taura, Megumi Inuzuka, Hiroshi Itoh, Yasutomo Fukunaga, Kazutoshi Miyashita, Kenichi Yamahara and Hirokazu Tsujimoto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Clinical Infectious Diseases.
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.