Shunzo Taii
- Immunology top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Agronomy and Crop Science top 2%
- Reproductive Medicine top 2%
- Co-authors
- Keiko YasudaShigetada NakanishiMasatsune FukuokaKenji TakakuraTakahide MoriShosaku NumaHiroo ImuraAkira Inoue
- Topics
- Reproductive Physiology in Livestock (11 papers)Reproductive System and Pregnancy (11 papers)Ovarian function and disorders (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Shunzo Taii
29 papers receiving 977 citations
Peers
Comparison fields: 5 of 69
- Immunology 336
- Molecular Biology 313
- Public Health, Environmental and Occupational Health 291
- Agronomy and Crop Science 277
- Reproductive Medicine 260
Countries citing papers authored by Shunzo Taii
This map shows the geographic impact of Shunzo Taii'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 Shunzo Taii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunzo Taii more than expected).
Fields of papers citing papers by Shunzo Taii
This network shows the impact of papers produced by Shunzo Taii. 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 Shunzo Taii. The network helps show where Shunzo Taii may publish in the future.
Co-authorship network of co-authors of Shunzo Taii
This figure shows the co-authorship network connecting the top 25 collaborators of Shunzo Taii. A scholar is included among the top collaborators of Shunzo Taii 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 Shunzo Taii. Shunzo Taii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 45 | |
| 6 | 56 | |
| 7 | 123 | |
| 8 | 8 | |
| 9 | 44 | |
| 10 | 36 | |
| 11 | 46 | |
| 12 | 82 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | Regulation of steroidogenic function during luteinization. | 1 |
| 16 | 49 | |
| 17 | 38 | |
| 18 | 11 | |
| 19 | 19 | |
| 20 | 88 |
About Shunzo Taii
Shunzo Taii is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Immunology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (11 papers), Reproductive System and Pregnancy (11 papers) and Ovarian function and disorders (5 papers). The work is most often cited by research in Reproductive Medicine (260 citations), Agronomy and Crop Science (277 citations) and Behavioral Neuroscience (65 citations). Shunzo Taii has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Keiko Yasuda, Shigetada Nakanishi, Masatsune Fukuoka, Kenji Takakura, Takahide Mori, Shosaku Numa, Hiroo Imura, Akira Inoue, Toshiyuki Kita and Yoshiyuki Ihara. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.
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.