T Mizuno
- Molecular Biology top 10%
- Cell Biology top 5%
- Immunology
- Oncology
- Physiology
- Co-authors
- Kozo KaibuchiYoshimi TakaiHiroyuki FujiokaYoshiharu MatsuuraTsuyoshi SakodaMitsuhiro KawamuraK. HiraokaI Matsuda
- Topics
- Reproductive Biology and Fertility (5 papers)Ovarian function and disorders (5 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular and Cellular Biology
- Partner nations
- Japan
In The Last Decade
T Mizuno
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 739
- Cell Biology 249
- Immunology 195
- Oncology 137
- Physiology 98
Countries citing papers authored by T Mizuno
This map shows the geographic impact of T Mizuno'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 Mizuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Mizuno more than expected).
Fields of papers citing papers by T Mizuno
This network shows the impact of papers produced by T Mizuno. 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 Mizuno. The network helps show where T Mizuno may publish in the future.
Co-authorship network of co-authors of T Mizuno
This figure shows the co-authorship network connecting the top 25 collaborators of T Mizuno. A scholar is included among the top collaborators of T Mizuno 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 Mizuno. T Mizuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 89 | |
| 2 | The retinoblastoma binding factor 1 (RBF-1) site in RB gene promoter binds preferentially E4TF1, a member of the Ets transcription factors family. | 38 |
| 3 | Anti-caldesmon monoclonal antibody reverses the inhibition of actomyosin Mg(2+)-ATPase activity by caldesmon. | 1 |
| 4 | 32 | |
| 5 | 126 | |
| 6 | 139 | |
| 7 | 97 | |
| 8 | 186 | |
| 9 | 139 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 18 | |
| 18 | 44 | |
| 19 | Gonadotrophin response to synthetic luteinizing hormone releasing factor (LRF) in normal female and anovulatory patients. | 3 |
| 20 | 1 |
About T Mizuno
T Mizuno is a scholar working on Reproductive Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Ovarian function and disorders (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cell Biology (249 citations), Reproductive Medicine (95 citations) and Molecular Biology (739 citations). T Mizuno has collaborated with scholars based in Japan. Frequent co-authors include Kozo Kaibuchi, Yoshimi Takai, Hiroyuki Fujioka, Yoshiharu Matsuura, Tsuyoshi Sakoda, Mitsuhiro Kawamura, K. Hiraoka, I Matsuda, Hiroyuki Nunoi and Makoto Asada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.