Mitsunori Ota
- Molecular Biology top 10%
- Cell Biology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Genetics
- Pediatrics, Perinatology and Child Health
- Co-authors
- Hiroshi SasakiHiroshi KiyonariKazuki NakaoNoriyuki NishiokaHiroko SatoShinji YamamotoAtsushi SawadaElizabeth Morin‐Kensicki
- Topics
- Hippo pathway signaling and YAP/TAZ (5 papers)Hedgehog Signaling Pathway Studies (3 papers)Developmental Biology and Gene Regulation (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Mitsunori Ota
13 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.3k
- Cell Biology 856
- Public Health, Environmental and Occupational Health 301
- Genetics 155
- Pediatrics, Perinatology and Child Health 76
Countries citing papers authored by Mitsunori Ota
This map shows the geographic impact of Mitsunori Ota'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 Mitsunori Ota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunori Ota more than expected).
Fields of papers citing papers by Mitsunori Ota
This network shows the impact of papers produced by Mitsunori Ota. 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 Mitsunori Ota. The network helps show where Mitsunori Ota may publish in the future.
Co-authorship network of co-authors of Mitsunori Ota
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunori Ota. A scholar is included among the top collaborators of Mitsunori Ota 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 Mitsunori Ota. Mitsunori Ota 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 | 0 | |
| 3 | 19 | |
| 4 | 47 | |
| 5 | The Hippo Signaling Pathway Components Lats and Yap Pattern Tead4 Activity to Distinguish Mouse Trophectoderm from Inner Cell Massbreakdown → | 812 |
| 6 | Mammalian Tead proteins regulate cell proliferation and contact inhibition as transcriptional mediators of Hippo signaling | 7 |
| 7 | 4 | |
| 8 | 326 | |
| 9 | 382 | |
| 10 | 35 | |
| 11 | 34 | |
| 12 | 31 | |
| 13 | 8 | |
| 14 | 2 |
About Mitsunori Ota
Mitsunori Ota is a scholar working on Cell Biology, Developmental Neuroscience and Earth-Surface Processes, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Hedgehog Signaling Pathway Studies (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Cell Biology (856 citations), Molecular Biology (1.3k citations) and Public Health, Environmental and Occupational Health (301 citations). Mitsunori Ota has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hiroshi Sasaki, Hiroshi Kiyonari, Kazuki Nakao, Noriyuki Nishioka, Hiroko Sato, Shinji Yamamoto, Atsushi Sawada, Elizabeth Morin‐Kensicki, Kenjiro Adachi and Hiroshi Nojima. Their work appears in journals such as Development, Biochemical and Biophysical Research Communications and Journal of Cell Science.
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.