Steven T. Okino
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment 6
- Pharmacology top 1%
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- Effects and risks of endocrine disrupting chemicals 8
- Toxic Organic Pollutants Impact 8
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 9
- Cancer-related gene regulation 5
- Molecular Biology Techniques and Applications 3
- Genomics, phytochemicals, and oxidative stress 2
- Oncology top 10%
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- Prostate Cancer Treatment and Research 7
- Co-authors
- James P. WhitlockRajvir DahiyaLong‐Cheng LiDeepa PookotShinji UrakamiHideki EnokidaRobert F. PlaceHong Zhao
- Journals
- Clinical Cancer Research (3 papers)Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Steven T. Okino
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 830
- Pharmacology 268
- Health, Toxicology and Mutagenesis 401
- Molecular Biology 1.4k
- Oncology 262
Countries citing papers authored by Steven T. Okino
This map shows the geographic impact of Steven T. Okino'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 Steven T. Okino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven T. Okino more than expected).
Fields of papers citing papers by Steven T. Okino
This network shows the impact of papers produced by Steven T. Okino. 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 Steven T. Okino. The network helps show where Steven T. Okino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven T. Okino, 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 | 2015 | 26 | |
| 2 | 2015 | 3 | |
| 3 | 2007 | 19 | |
| 4 | 2007 | 20 | |
| 5 | 2006 | 56 | |
| 6 | Small dsRNAs induce transcriptional activation in human cellsbreakdown → | 2006 | 600 |
| 7 | 2005 | 152 | |
| 8 | 2004 | 35 | |
| 9 | 2004 | 85 | |
| 10 | 2004 | 2 | |
| 11 | 2003 | 2 | |
| 12 | 2002 | 29 | |
| 13 | 2000 | 40 | |
| 14 | 1999 | 266 | |
| 15 | 1998 | 48 | |
| 16 | 1997 | 57 | |
| 17 | 1997 | 63 | |
| 18 | 1995 | 75 | |
| 19 | 1993 | 13 | |
| 20 | 1985 | 50 |
About Steven T. Okino
Steven T. Okino is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Molecular Biology, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (8 papers), Prostate Cancer Treatment and Research (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Cancer-related gene regulation (5 papers), Molecular Biology Techniques and Applications (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Cancer Research (830 citations), Pharmacology (268 citations) and Health, Toxicology and Mutagenesis (401 citations). Steven T. Okino has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include James P. Whitlock, Rajvir Dahiya, Long‐Cheng Li, Deepa Pookot, Shinji Urakami, Hideki Enokida, Robert F. Place, Hong Zhao, Qiang Ma and Richard A. Roth. Their work appears in journals such as Clinical Cancer Research, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cancer Research.
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.