Kunio Shiota
- Molecular Biology top 1%
- Genetics top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Pediatrics, Perinatology and Child Health top 1%
- Immunology top 5%
- Co-authors
- Satoshi TanakaNaka HattoriJun OhganeHiromichi KimuraShintaro YagiNaoko HattoriKoichiro NishinoMichio Takahashi
- Topics
- Epigenetics and DNA Methylation (69 papers)Cancer-related gene regulation (25 papers)Reproductive Biology and Fertility (20 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kunio Shiota
190 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 5.3k
- Genetics 1.9k
- Public Health, Environmental and Occupational Health 1.0k
- Pediatrics, Perinatology and Child Health 969
- Immunology 647
Countries citing papers authored by Kunio Shiota
This map shows the geographic impact of Kunio Shiota'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 Kunio Shiota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Shiota more than expected).
Fields of papers citing papers by Kunio Shiota
This network shows the impact of papers produced by Kunio Shiota. 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 Kunio Shiota. The network helps show where Kunio Shiota may publish in the future.
Co-authorship network of co-authors of Kunio Shiota
This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Shiota. A scholar is included among the top collaborators of Kunio Shiota 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 Kunio Shiota. Kunio Shiota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 7 | |
| 3 | 39 | |
| 4 | 14 | |
| 5 | 24 | |
| 6 | 51 | |
| 7 | 100 | |
| 8 | 33 | |
| 9 | 36 | |
| 10 | 63 | |
| 11 | 1 | |
| 12 | A Change of Expression Patterns of Retinoic Acid Receptor mRNAs in the Fetal Mouse Secondary Palate Induced by All-trans Retinoic Acid : Poster Sessions | 1 |
| 13 | PRODUCTION OF RECOMBINANT PLACENTAL LACTOGEN-I MOSAIC (RPL-IM) BY A BACULOVIRUS SYSTEM | 2 |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 56 | |
| 19 | 2 | |
| 20 | 25 |
About Kunio Shiota
Kunio Shiota is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 190 papers that have together received 7.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (69 papers), Cancer-related gene regulation (25 papers) and Reproductive Biology and Fertility (20 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Genetics (1.9k citations) and Reproductive Medicine (497 citations). Kunio Shiota has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Satoshi Tanaka, Naka Hattori, Jun Ohgane, Hiromichi Kimura, Shintaro Yagi, Naoko Hattori, Koichiro Nishino, Michio Takahashi, Ryuzo Yanagimachi and Yasushi Kogo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.