Tomoyuki Hotsubo
- Co-authors
- Shunzo ChibaNobuo NagataToshihiko MoriYuki KuroiwaKei NumazakiToshihiro TajimaHideomi AsanumaKiyotaka Horino
- Topics
- Sexual Differentiation and Disorders (4 papers)Respiratory viral infections research (3 papers)Mitochondrial Function and Pathology (3 papers)
In The Last Decade
Tomoyuki Hotsubo
23 papers receiving 354 citations
Peers
Comparison fields: 5 of 58
- Epidemiology 145
- Endocrinology, Diabetes and Metabolism 86
- Molecular Biology 85
- Infectious Diseases 73
- Genetics 68
Countries citing papers authored by Tomoyuki Hotsubo
This map shows the geographic impact of Tomoyuki Hotsubo'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 Tomoyuki Hotsubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Hotsubo more than expected).
Fields of papers citing papers by Tomoyuki Hotsubo
This network shows the impact of papers produced by Tomoyuki Hotsubo. 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 Tomoyuki Hotsubo. The network helps show where Tomoyuki Hotsubo may publish in the future.
Co-authorship network of co-authors of Tomoyuki Hotsubo
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Hotsubo. A scholar is included among the top collaborators of Tomoyuki Hotsubo 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 Tomoyuki Hotsubo. Tomoyuki Hotsubo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 14 | |
| 3 | Second-Tier testing of neonatal screening for congenital adrenal hyperplasia using Liquid Chromatography-tandem mass spectrometry | 3 |
| 4 | 32 | |
| 5 | Neonatal screening for congenital adrenal hyperplasia in Japan. | 14 |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | Etiological agents of lower respiratory tract infections in Japanese children. | 16 |
| 11 | 30 | |
| 12 | 26 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 57 | |
| 19 | 1 | |
| 20 | [Detection of human cytomegalovirus DNA by polymerase chain reaction method]. | 3 |
About Tomoyuki Hotsubo
Tomoyuki Hotsubo is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 23 papers that have together received 365 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (4 papers), Respiratory viral infections research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (86 citations), Clinical Biochemistry (34 citations) and Epidemiology (145 citations). Tomoyuki Hotsubo has collaborated with scholars based in Japan, Slovakia and Belarus. Frequent co-authors include Shunzo Chiba, Nobuo Nagata, Toshihiko Mori, Yuki Kuroiwa, Kei Numazaki, Toshihiro Tajima, Hideomi Asanuma, Kiyotaka Horino, Akie Nakamura and Katsura Ishizu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Journal of Clinical Microbiology.
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.