Atsuya Takagi
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Health, Toxicology and Mutagenesis top 2%
- Cancer Research top 5%
- Biomedical Engineering top 10%
- Co-authors
- Satoshi KitajimaYuji KurokawaYumiko SagaTohru InoueJun KannoTakashi UmemuraRyuichi HasegawaAkihiko Hirose
- Topics
- Peroxisome Proliferator-Activated Receptors (6 papers)Carcinogens and Genotoxicity Assessment (6 papers)Nanoparticles: synthesis and applications (5 papers)
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Atsuya Takagi
43 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.3k
- Materials Chemistry 584
- Health, Toxicology and Mutagenesis 495
- Cancer Research 380
- Biomedical Engineering 316
Countries citing papers authored by Atsuya Takagi
This map shows the geographic impact of Atsuya Takagi'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 Atsuya Takagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuya Takagi more than expected).
Fields of papers citing papers by Atsuya Takagi
This network shows the impact of papers produced by Atsuya Takagi. 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 Atsuya Takagi. The network helps show where Atsuya Takagi may publish in the future.
Co-authorship network of co-authors of Atsuya Takagi
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuya Takagi. A scholar is included among the top collaborators of Atsuya Takagi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsuya Takagi. Atsuya Takagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 145 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 47 | |
| 5 | 454 | |
| 6 | 49 | |
| 7 | Report 3 : BIOTECHNOLOGY PRODUCTS : SPECIFIC ISSUES AND ICH S6 ( Safety assessment of biotechnology-derived pharmaceutical product.) | 1 |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 48 | |
| 11 | 75 | |
| 12 | 9 | |
| 13 | 34 | |
| 14 | 58 | |
| 15 | 11 | |
| 16 | 63 | |
| 17 | 74 | |
| 18 | 68 | |
| 19 | 139 | |
| 20 | A20 STUDY ON THE DEPRESSED BODY WEIGHT GAIN INDUCED BY 2, 2'-METHYLENE-bis(4-ETHYL-6-tert-BUTYLPHENOL)(MBEBP) IN RAT | 2 |
About Atsuya Takagi
Atsuya Takagi is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Clinical Biochemistry, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Nanoparticles: synthesis and applications (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (495 citations), Chemical Health and Safety (22 citations) and Cancer Research (380 citations). Atsuya Takagi has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Satoshi Kitajima, Yuji Kurokawa, Yumiko Saga, Tohru Inoue, Jun Kanno, Takashi Umemura, Ryuichi Hasegawa, Akihiko Hirose, Kimie Sai and Tetsuji Nishimura. Their work appears in journals such as Nature Genetics, The Journal of Immunology and Development.
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.