Ken‐ichi Saeki
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
-
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
Papers in
-
- Carcinogens and Genotoxicity Assessment 19
-
- Pharmacogenetics and Drug Metabolism 8
- Co-authors
- Takaaki KatoSaburo MatsuiTomonari MatsudaTakaharu MizutaniJun AdachiHidetaka TakigamiJunko FujinoCharles A. Miller
- Journals
- Mutation Research/Genetic Toxicology and Environmental Mutagenesis (11 papers)Biological and Pharmaceutical Bulletin (8 papers)Mutation research. Fundamental and molecular mechanisms of mutagenesis (2 papers)Theoretical and Applied Genetics (1 paper)Chemical and Pharmaceutical Bulletin (1 paper)
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Ken‐ichi Saeki
36 papers receiving 893 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 229
- Health, Toxicology and Mutagenesis 196
- Pharmacology 109
- Organic Chemistry 237
- Pharmaceutical Science 45
Countries citing papers authored by Ken‐ichi Saeki
This map shows the geographic impact of Ken‐ichi Saeki'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 Ken‐ichi Saeki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐ichi Saeki more than expected).
Fields of papers citing papers by Ken‐ichi Saeki
This network shows the impact of papers produced by Ken‐ichi Saeki. 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 Ken‐ichi Saeki. The network helps show where Ken‐ichi Saeki may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken‐ichi Saeki, 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 | 2021 | 12 | |
| 2 | 2020 | 1 | |
| 3 | 2016 | 42 | |
| 4 | 2005 | 6 | |
| 5 | 2005 | 6 | |
| 6 | 2004 | 9 | |
| 7 | 2003 | 7 | |
| 8 | 2002 | 20 | |
| 9 | 2002 | 18 | |
| 10 | 2001 | 326 | |
| 11 | 2000 | 17 | |
| 12 | 2000 | 3 | |
| 13 | 1999 | 25 | |
| 14 | 1999 | 8 | |
| 15 | 1999 | 18 | |
| 16 | 1998 | 20 | |
| 17 | 1997 | 19 | |
| 18 | 1996 | 12 | |
| 19 | 1995 | 3 | |
| 20 | 1993 | 22 |
About Ken‐ichi Saeki
Ken‐ichi Saeki is a scholar working on Cancer Research, Pharmacology, Pharmaceutical Science, Biological Psychiatry and Organic Chemistry, having authored 36 papers that have together received 917 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (19 papers), DNA Repair Mechanisms (8 papers), Pharmacogenetics and Drug Metabolism (8 papers), DNA and Nucleic Acid Chemistry (8 papers), Chemical Reaction Mechanisms (5 papers), Toxic Organic Pollutants Impact (4 papers), Synthesis and Biological Evaluation (4 papers) and Plant Genetic and Mutation Studies (3 papers). The work is most often cited by research in Cancer Research (229 citations), Health, Toxicology and Mutagenesis (196 citations), Pharmacology (109 citations), Organic Chemistry (237 citations) and Pharmaceutical Science (45 citations). Ken‐ichi Saeki has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Takaaki Kato, Saburo Matsui, Tomonari Matsuda, Takaharu Mizutani, Jun Adachi, Hidetaka Takigami, Junko Fujino, Charles A. Miller, Y. Mori and Atsushi Hakura. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Biological and Pharmaceutical Bulletin, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Theoretical and Applied Genetics and Chemical and Pharmaceutical Bulletin.
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.