Takuya Kitamoto
Impact in
- Genetics top 1%
- Estrogen and related hormone effects
- Toxicology top 2%
Papers in
-
- Retinoids in leukemia and cellular processes 7
- Metabolomics and Mass Spectrometry Studies 6
- Toxicology 13
- Forensic Toxicology and Drug Analysis 13
- Co-authors
- Yoshikazu Masuhiro (5 shared papers)Shigeaki Kato (6 shared papers)Daniel Metzger (2 shared papers)Shoichi Masushige (4 shared papers)Eisuke Nishida (1 shared paper)Haruna Sasaki (1 shared paper)Hideki Endoh (1 shared paper)Pierre Chambon (1 shared paper)
In The Last Decade
Takuya Kitamoto
45 papers receiving 2.6k citations
Takuya Kitamoto's Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 1.5k
- Toxicology 119
- Endocrinology, Diabetes and Metabolism 500
- Oncology 700
- Molecular Biology 1.4k
Countries citing papers authored by Takuya Kitamoto
This map shows the geographic impact of Takuya Kitamoto'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 Takuya Kitamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Kitamoto more than expected).
Fields of papers citing papers by Takuya Kitamoto
This network shows the impact of papers produced by Takuya Kitamoto. 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 Takuya Kitamoto. The network helps show where Takuya Kitamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya Kitamoto, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Activation of the Estrogen Receptor Through Phosphorylation by Mitogen-Activated Protein Kinase Hit paper breakdown → | 1995 | 1616 |
| 2 | 2013 | 152 | |
| 3 | 2000 | 123 | |
| 4 | 1996 | 75 | |
| 5 | 2004 | 71 | |
| 6 | 2015 | 66 | |
| 7 | 1999 | 64 | |
| 8 | 2001 | 60 | |
| 9 | 2014 | 54 | |
| 10 | 1997 | 45 | |
| 11 | 1998 | 40 | |
| 12 | 2018 | 33 | |
| 13 | 1997 | 32 | |
| 14 | 2017 | 30 | |
| 15 | 2007 | 23 | |
| 16 | 2017 | 23 | |
| 17 | 2014 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2018 | 15 |
About Takuya Kitamoto
Takuya Kitamoto is a scholar working on Molecular Biology, Toxicology, Epidemiology, Genetics and Pharmacology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (13 papers), Retinoids in leukemia and cellular processes (7 papers), Cannabis and Cannabinoid Research (7 papers), Estrogen and related hormone effects (7 papers), Alcohol Consumption and Health Effects (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Genetics (1.5k citations), Toxicology (119 citations), Endocrinology, Diabetes and Metabolism (500 citations), Oncology (700 citations) and Molecular Biology (1.4k citations). Takuya Kitamoto has collaborated with scholars based in Japan, France and Norway. Frequent co-authors include Yoshikazu Masuhiro, Shigeaki Kato, Daniel Metzger, Shoichi Masushige, Eisuke Nishida, Haruna Sasaki, Hideki Endoh, Pierre Chambon, Yukiko Gotoh and Hiroyuki Kawashima. Their work appears in journals such as Forensic Toxicology, Legal Medicine, Scientific Reports, Data in Brief and Japan Journal of Industrial and Applied Mathematics.
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.