T. Kubota
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Takeshi AsôSong WangJeffrey Mark SiskindShinji KamadaFumiaki MarumoSeung Chik JwaMinoru IraharaAkira Kuwahara
- Topics
- Reproductive Biology and Fertility (5 papers)Ovarian function and disorders (5 papers)Nitric Oxide and Endothelin Effects (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Clinical Endocrinology & MetabolismBritish Journal of Cancer
- Partner nations
- JapanUnited States
In The Last Decade
T. Kubota
40 papers receiving 731 citations
Peers
Comparison fields: 5 of 111
- Reproductive Medicine 206
- Public Health, Environmental and Occupational Health 165
- Molecular Biology 133
- Computer Vision and Pattern Recognition 129
- Endocrinology, Diabetes and Metabolism 129
Countries citing papers authored by T. Kubota
This map shows the geographic impact of T. Kubota'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. Kubota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kubota more than expected).
Fields of papers citing papers by T. Kubota
This network shows the impact of papers produced by T. Kubota. 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. Kubota. The network helps show where T. Kubota may publish in the future.
Co-authorship network of co-authors of T. Kubota
This figure shows the co-authorship network connecting the top 25 collaborators of T. Kubota. A scholar is included among the top collaborators of T. Kubota 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. Kubota. T. Kubota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 40 | |
| 3 | 31 | |
| 4 | 109 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 46 | |
| 8 | 31 | |
| 9 | 9 | |
| 10 | 50 | |
| 11 | 32 | |
| 12 | [The influence of pregnancy and delivery on the climacteric symptoms]. | 3 |
| 13 | 30 | |
| 14 | 31 | |
| 15 | 5 | |
| 16 | 23 | |
| 17 | 28 | |
| 18 | 231 A study of endothelin-1 release from human decidual cells in early pregnancy. | 1 |
| 19 | [The effects of insulin-like growth factor-I (IGF-I) and IGF-II on prolactin (PRL) release from human decidua and amniotic fluid circulation]. | 3 |
| 20 | 10 |
About T. Kubota
T. Kubota is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 41 papers that have together received 757 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Ovarian function and disorders (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Reproductive Medicine (206 citations), Obstetrics and Gynecology (92 citations) and Endocrinology, Diabetes and Metabolism (129 citations). T. Kubota has collaborated with scholars based in Japan and United States. Frequent co-authors include Takeshi Asô, Song Wang, Jeffrey Mark Siskind, Shinji Kamada, Fumiaki Marumo, Seung Chik Jwa, Minoru Irahara, Akira Kuwahara, Hidekazu Saito and Makoto Taguchi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Clinical Endocrinology & Metabolism and British Journal of Cancer.
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.