Akiyoshi Nishikawa
- Cancer Research top 1%
- Carcinogens and Genotoxicity Assessment 74
- Biochemistry top 1%
- Antioxidant Activity and Oxidative Stress 15
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- Effects and risks of endocrine disrupting chemicals 16
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 16
- Toxicology top 2%
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- Genomics, phytochemicals, and oxidative stress 52
- Glutathione Transferases and Polymorphisms 28
- DNA Repair Mechanisms 19
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- Estrogen and related hormone effects 13
- Co-authors
- Masao HiroseTakashi UmemuraFumio FurukawaTakayoshi ImazawaKaoru InoueMasashi TakahashiYasuki KitamuraMakoto Shibutani
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Agricultural and Food Chemistry (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Akiyoshi Nishikawa
295 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 159
- Cancer Research 1.4k
- Biochemistry 479
- Health, Toxicology and Mutagenesis 891
- Pharmacology 546
- Toxicology 123
Countries citing papers authored by Akiyoshi Nishikawa
This map shows the geographic impact of Akiyoshi Nishikawa'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 Akiyoshi Nishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiyoshi Nishikawa more than expected).
Fields of papers citing papers by Akiyoshi Nishikawa
This network shows the impact of papers produced by Akiyoshi Nishikawa. 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 Akiyoshi Nishikawa. The network helps show where Akiyoshi Nishikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiyoshi Nishikawa, 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 | 5 | |
| 2 | 2018 | 9 | |
| 3 | 2013 | 1 | |
| 4 | 2011 | 4 | |
| 5 | 2011 | 51 | |
| 6 | 2010 | 15 | |
| 7 | 2009 | 27 | |
| 8 | 2007 | 18 | |
| 9 | 2006 | 13 | |
| 10 | 2006 | 13 | |
| 11 | 2003 | 10 | |
| 12 | 2001 | 1 | |
| 13 | 2000 | 8 | |
| 14 | 2000 | 17 | |
| 15 | 1998 | 7 | |
| 16 | [A 13-week subchronic toxicity study of bisphenol A in B6C3F1 mice]. | 1994 | 6 |
| 17 | 1994 | 19 | |
| 18 | 1991 | 16 | |
| 19 | 1990 | 0 | |
| 20 | 1989 | 79 |
About Akiyoshi Nishikawa
Akiyoshi Nishikawa is a scholar working on Cancer Research, Pharmacology and Biochemistry, having authored 300 papers that have together received 6.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (74 papers), Genomics, phytochemicals, and oxidative stress (52 papers), Glutathione Transferases and Polymorphisms (28 papers), DNA Repair Mechanisms (19 papers), Pharmacogenetics and Drug Metabolism (16 papers), Effects and risks of endocrine disrupting chemicals (16 papers), Antioxidant Activity and Oxidative Stress (15 papers) and Estrogen and related hormone effects (13 papers). The work is most often cited by research in Cancer Research (1.4k citations), Biochemistry (479 citations) and Health, Toxicology and Mutagenesis (891 citations). Akiyoshi Nishikawa has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Masao Hirose, Takashi Umemura, Fumio Furukawa, Takayoshi Imazawa, Kaoru Inoue, Masashi Takahashi, Yasuki Kitamura, Makoto Shibutani, Keita Kanki and Takehiko Nohmi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and British Journal of Cancer.
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.