Kenichiro Doi
Impact in
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- Cell death mechanisms and regulation
- Chemical Synthesis and Analysis
- RNA Interference and Gene Delivery
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- Cancer-related Molecular Pathways
Papers in
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- Cell death mechanisms and regulation 6
- Chemical Synthesis and Analysis 4
- Ubiquitin and proteasome pathways 3
- Sphingolipid Metabolism and Signaling 3
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- Carcinogens and Genotoxicity Assessment 6
- Co-authors
- Hong‐Gang Wang (14 shared papers)Hideki Wanibuchi (20 shared papers)Qing Lin (3 shared papers)Avinash Muppidi (3 shared papers)Shantu Amin (6 shared papers)Selvakumar Edwardraja (2 shared papers)Eric J. Drake (1 shared paper)Andrew M. Gulick (1 shared paper)
- Journals
- Cancer Letters (3 papers)Cancer Biology & Therapy (2 papers)Toxicology and Applied Pharmacology (2 papers)Cancer Science (2 papers)PLoS ONE (2 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Kenichiro Doi
39 papers receiving 826 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 560
- Oncology 155
- Organic Chemistry 182
- Cancer Research 76
- Hematology 51
Countries citing papers authored by Kenichiro Doi
This map shows the geographic impact of Kenichiro Doi'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 Kenichiro Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichiro Doi more than expected).
Fields of papers citing papers by Kenichiro Doi
This network shows the impact of papers produced by Kenichiro Doi. 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 Kenichiro Doi. The network helps show where Kenichiro Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenichiro Doi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 136 | |
| 2 | 2012 | 130 | |
| 3 | 2010 | 106 | |
| 4 | 2011 | 42 | |
| 5 | 2019 | 41 | |
| 6 | 2013 | 38 | |
| 7 | 2014 | 31 | |
| 8 | 2017 | 27 | |
| 9 | 2015 | 26 | |
| 10 | 2014 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2008 | 23 | |
| 13 | 2016 | 20 | |
| 14 | 2005 | 19 | |
| 15 | 2003 | 17 | |
| 16 | 2009 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2003 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2009 | 8 |
About Kenichiro Doi
Kenichiro Doi is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Oncology and Surgery, having authored 41 papers that have together received 835 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Heavy Metal Exposure and Toxicity (5 papers), Arsenic contamination and mitigation (4 papers), Chemical Synthesis and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Bee Products Chemical Analysis (3 papers). The work is most often cited by research in Molecular Biology (560 citations), Oncology (155 citations), Organic Chemistry (182 citations), Cancer Research (76 citations) and Hematology (51 citations). Kenichiro Doi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hong‐Gang Wang, Hideki Wanibuchi, Qing Lin, Avinash Muppidi, Shantu Amin, Selvakumar Edwardraja, Eric J. Drake, Andrew M. Gulick, Krishne Gowda and Shen‐Shu Sung. Their work appears in journals such as Cancer Letters, Cancer Biology & Therapy, Toxicology and Applied Pharmacology, Cancer Science 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.