Kenichiro Doi
Impact in
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- Chemical Synthesis and Analysis
- Sphingolipid Metabolism and Signaling
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- Carcinogens and Genotoxicity Assessment
Papers in
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- Carcinogens and Genotoxicity Assessment 10
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- Cell death mechanisms and regulation 7
- Chemical Synthesis and Analysis 5
- Sphingolipid Metabolism and Signaling 3
- Co-authors
- Hong-Gang Wang (13 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)Krishne Gowda (4 shared papers)Eric J. Drake (1 shared paper)
- Journals
- Cancer Letters (3 papers)Toxicology and Applied Pharmacology (2 papers)Cancer Science (2 papers)Toxicologic Pathology (2 papers)PLoS ONE (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kenichiro Doi
35 papers receiving 914 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 527
- Cancer Research 85
- Hematology 64
- Insect Science 44
- Environmental Chemistry 28
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 145 | |
| 2 | 2012 | 134 | |
| 3 | 2010 | 108 | |
| 4 | 2016 | 82 | |
| 5 | 2011 | 43 | |
| 6 | 2019 | 41 | |
| 7 | 2013 | 39 | |
| 8 | 2014 | 32 | |
| 9 | 2017 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2014 | 26 | |
| 12 | 2015 | 26 | |
| 13 | 2008 | 23 | |
| 14 | 2016 | 20 | |
| 15 | 2005 | 19 | |
| 16 | 2003 | 16 | |
| 17 | 2003 | 12 | |
| 18 | 2009 | 12 | |
| 19 | 2011 | 12 | |
| 20 | 2014 | 11 |
About Kenichiro Doi
Kenichiro Doi is a scholar working on Cancer Research, Molecular Biology, Environmental Chemistry, Insect Science and Hematology, having authored 35 papers that have together received 937 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), Cell death mechanisms and regulation (7 papers), Chemical Synthesis and Analysis (5 papers), Arsenic contamination and mitigation (4 papers), Acute Myeloid Leukemia Research (3 papers), Bee Products Chemical Analysis (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Molecular Biology (527 citations), Cancer Research (85 citations), Hematology (64 citations), Insect Science (44 citations) and Environmental Chemistry (28 citations). Kenichiro Doi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hong-Gang Wang, Hideki Wanibuchi, Qing Lin, Avinash Muppidi, Shantu Amin, Selvakumar Edwardraja, Krishne Gowda, Eric J. Drake, Andrew M. Gulick and Saı̈d M. Sebti. Their work appears in journals such as Cancer Letters, Toxicology and Applied Pharmacology, Cancer Science, Toxicologic Pathology 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.