Yukitomo Arao
- Genetics top 5%
- Estrogen and related hormone effects 32
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 4
- Molecular Biology top 10%
- RNA Research and Splicing 9
- Retinoids in leukemia and cellular processes 8
- Immunology top 10%
- Reproductive System and Pregnancy 6
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- Cytokine Signaling Pathways and Interactions 10
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- Phytoestrogen effects and research 6
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- Animal Nutrition and Physiology 5
- Co-authors
- Kenneth S. KorachKatherine J. HamiltonSylvia C. HewittKatherine A. BurnsK. WatanabeFujio KayamaShigeaki KatoYin Li
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (6 papers)Nature Communications (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Yukitomo Arao
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 111
- Genetics 672
- Reproductive Medicine 203
- Health, Toxicology and Mutagenesis 304
- Molecular Biology 780
- Immunology 230
Countries citing papers authored by Yukitomo Arao
This map shows the geographic impact of Yukitomo Arao'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 Yukitomo Arao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukitomo Arao more than expected).
Fields of papers citing papers by Yukitomo Arao
This network shows the impact of papers produced by Yukitomo Arao. 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 Yukitomo Arao. The network helps show where Yukitomo Arao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukitomo Arao, 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 | 2023 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2019 | 6 | |
| 4 | 2018 | 15 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 4 | |
| 7 | 2017 | 72 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 37 | |
| 10 | 2016 | 17 | |
| 11 | 2015 | 14 | |
| 12 | 2013 | 23 | |
| 13 | 2012 | 191 | |
| 14 | 2009 | 2 | |
| 15 | 2006 | 34 | |
| 16 | 2005 | 18 | |
| 17 | 2005 | 53 | |
| 18 | 2002 | 17 | |
| 19 | 1996 | 5 | |
| 20 | 1996 | 6 |
About Yukitomo Arao
Yukitomo Arao is a scholar working on Genetics, Reproductive Medicine and Aging, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (32 papers), Cytokine Signaling Pathways and Interactions (10 papers), RNA Research and Splicing (9 papers), Retinoids in leukemia and cellular processes (8 papers), Reproductive System and Pregnancy (6 papers), Phytoestrogen effects and research (6 papers), Animal Nutrition and Physiology (5 papers) and Hypothalamic control of reproductive hormones (4 papers). The work is most often cited by research in Genetics (672 citations), Reproductive Medicine (203 citations) and Health, Toxicology and Mutagenesis (304 citations). Yukitomo Arao has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Kenneth S. Korach, Katherine J. Hamilton, Sylvia C. Hewitt, Katherine A. Burns, K. Watanabe, Fujio Kayama, Shigeaki Kato, Yin Li, Yin Li and Kazuhiro Ikeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.