Kunio Shiota
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 69
- Cancer-related gene regulation 25
- Pluripotent Stem Cells Research 18
- RNA modifications and cancer 17
- Glycosylation and Glycoproteins Research 15
- Genetics top 0.5%
- Genetic Syndromes and Imprinting 19
- Reproductive Medicine top 1%
- Obstetrics and Gynecology top 1%
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- Reproductive Biology and Fertility 20
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- Hormonal Regulation and Hypertension 14
- Co-authors
- Satoshi TanakaNaka HattoriJun OhganeHiromichi KimuraShintaro YagiNaoko HattoriKoichiro NishinoMichio Takahashi
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (8 papers)PLoS ONE (1 paper)
- 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
- Reproductive Medicine 497
- Obstetrics and Gynecology 427
- Pediatrics, Perinatology and Child Health 969
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
The 25 scholars most cited alongside Kunio Shiota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 30 | |
| 2 | 2017 | 7 | |
| 3 | 2012 | 39 | |
| 4 | 2007 | 14 | |
| 5 | 2007 | 24 | |
| 6 | 2003 | 51 | |
| 7 | 2001 | 100 | |
| 8 | 2000 | 33 | |
| 9 | 1998 | 36 | |
| 10 | 1998 | 63 | |
| 11 | 1998 | 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 | 1997 | 1 |
| 13 | PRODUCTION OF RECOMBINANT PLACENTAL LACTOGEN-I MOSAIC (RPL-IM) BY A BACULOVIRUS SYSTEM | 1995 | 2 |
| 14 | 1993 | 1 | |
| 15 | 1992 | 6 | |
| 16 | 1992 | 15 | |
| 17 | 1991 | 3 | |
| 18 | 1990 | 56 | |
| 19 | 1989 | 2 | |
| 20 | 1985 | 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), Reproductive Biology and Fertility (20 papers), Genetic Syndromes and Imprinting (19 papers), Pluripotent Stem Cells Research (18 papers), RNA modifications and cancer (17 papers), Glycosylation and Glycoproteins Research (15 papers) and Hormonal Regulation and Hypertension (14 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.