Toshihide Kubo
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Physiology
- Epidemiology
- Co-authors
- Yoshiki SeinoMahoko FurujoHiroshi TanakaSho KanzakiTakashi YorifujiMasaru InoueHiroyuki DoiMasaru Miura
- Topics
- Growth Hormone and Insulin-like Growth Factors (11 papers)Obesity, Physical Activity, Diet (8 papers)Birth, Development, and Health (8 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child HealthOrthopedics and Sports Medicine
- Journals
- The Journal of Clinical Endocrinology & MetabolismScientific ReportsThe Journal of Pediatrics
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Toshihide Kubo
48 papers receiving 720 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 178
- Endocrinology, Diabetes and Metabolism 174
- Pediatrics, Perinatology and Child Health 157
- Physiology 128
- Epidemiology 108
Countries citing papers authored by Toshihide Kubo
This map shows the geographic impact of Toshihide Kubo'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 Toshihide Kubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihide Kubo more than expected).
Fields of papers citing papers by Toshihide Kubo
This network shows the impact of papers produced by Toshihide Kubo. 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 Toshihide Kubo. The network helps show where Toshihide Kubo may publish in the future.
Co-authorship network of co-authors of Toshihide Kubo
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihide Kubo. A scholar is included among the top collaborators of Toshihide Kubo 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 Toshihide Kubo. Toshihide Kubo 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 | 2 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 33 | |
| 11 | 14 | |
| 12 | 21 | |
| 13 | 53 | |
| 14 | 16 | |
| 15 | 9 | |
| 16 | 39 | |
| 17 | The Usefulness of Ultrasensitive Assay for Estradiol in Both Sexes During Childhood | 1 |
| 18 | 23 | |
| 19 | 32 | |
| 20 | 11 |
About Toshihide Kubo
Toshihide Kubo is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 48 papers that have together received 748 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Obesity, Physical Activity, Diet (8 papers) and Birth, Development, and Health (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Pediatrics, Perinatology and Child Health (157 citations) and Orthopedics and Sports Medicine (69 citations). Toshihide Kubo has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Yoshiki Seino, Mahoko Furujo, Hiroshi Tanaka, Sho Kanzaki, Takashi Yorifuji, Masaru Inoue, Hiroyuki Doi, Masaru Miura, Akihito Takeuchi and Torayuki Okuyama. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and The Journal of Pediatrics.
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.