T Kinugasa
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Public Health, Environmental and Occupational Health
- Endocrine and Autonomic Systems top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- K KurachiToshihiro AonoAkira MiyakeOsamu TanizawaToshio OnishiY KimotoTetsuro SakumotoM. Tohyama
- Topics
- Ovarian function and disorders (7 papers)Growth Hormone and Insulin-like Growth Factors (5 papers)Sexual Differentiation and Disorders (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismAmerican Journal of Obstetrics and GynecologyExperimental Brain Research
- Partner nations
- Japan
In The Last Decade
T Kinugasa
15 papers receiving 362 citations
Peers
Comparison fields: 5 of 62
- Reproductive Medicine 176
- Endocrinology, Diabetes and Metabolism 106
- Public Health, Environmental and Occupational Health 79
- Endocrine and Autonomic Systems 75
- Cellular and Molecular Neuroscience 61
Countries citing papers authored by T Kinugasa
This map shows the geographic impact of T Kinugasa'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 T Kinugasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kinugasa more than expected).
Fields of papers citing papers by T Kinugasa
This network shows the impact of papers produced by T Kinugasa. 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 T Kinugasa. The network helps show where T Kinugasa may publish in the future.
Co-authorship network of co-authors of T Kinugasa
This figure shows the co-authorship network connecting the top 25 collaborators of T Kinugasa. A scholar is included among the top collaborators of T Kinugasa 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 T Kinugasa. T Kinugasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 19 | |
| 3 | Endocrine and androgen-receptor studies in a patient with XY gonadal agenesis. | 3 |
| 4 | 15 | |
| 5 | 121 | |
| 6 | 29 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 69 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | 18 |
About T Kinugasa
T Kinugasa is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Agronomy and Crop Science, having authored 15 papers that have together received 396 indexed citations. Recurring topics across this work include Ovarian function and disorders (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Sexual Differentiation and Disorders (4 papers). The work is most often cited by research in Reproductive Medicine (176 citations), Endocrine and Autonomic Systems (75 citations) and Behavioral Neuroscience (27 citations). T Kinugasa has collaborated with scholars based in Japan. Frequent co-authors include K Kurachi, Toshihiro Aono, Akira Miyake, Osamu Tanizawa, Toshio Onishi, Y Kimoto, K Kurachi, Tetsuro Sakumoto, M. Tohyama and Keiji Satoh. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Obstetrics and Gynecology and Experimental Brain Research.
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.