Takuhiro Sonoyama
- Molecular Biology
- Infectious Diseases top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Masakatsu SoneKazuwa NakaoNaohisa TamuraDaisuke TauraMegumi InuzukaHiroshi ItohYasutomo FukunagaKazutoshi Miyashita
- Topics
- SARS-CoV-2 and COVID-19 Research (20 papers)COVID-19 Clinical Research Studies (14 papers)Long-Term Effects of COVID-19 (7 papers)
- Cited by
- Infectious DiseasesEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- 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
- Molecular Biology 366
- Infectious Diseases 310
- Cardiology and Cardiovascular Medicine 233
- Physiology 221
- Endocrinology, Diabetes and Metabolism 193
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 of co-authors of Takuhiro Sonoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Takuhiro Sonoyama. A scholar is included among the top collaborators of Takuhiro Sonoyama 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 Takuhiro Sonoyama. Takuhiro Sonoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 90 | |
| 12 | 12 | |
| 13 | 0 | |
| 14 | 8 | |
| 15 | 47 | |
| 16 | 55 | |
| 17 | 20 | |
| 18 | 41 | |
| 19 | 31 | |
| 20 | 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) and Long-Term Effects of COVID-19 (7 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.