Takaki Seki
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Plant Science
- Endocrinology, Diabetes and Metabolism
- Pulmonary and Respiratory Medicine
- Co-authors
- Takeshi KunimatsuHitoshi FunabashiJuki KimuraYasuyoshi OkunoTomoya YamadaKiyoko BandoJun SakaiTakeshi Bamba
- Topics
- Effects and risks of endocrine disrupting chemicals (8 papers)Pesticide Exposure and Toxicity (4 papers)Mitochondrial Function and Pathology (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Takaki Seki
34 papers receiving 678 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 255
- Health, Toxicology and Mutagenesis 172
- Plant Science 106
- Endocrinology, Diabetes and Metabolism 96
- Pulmonary and Respiratory Medicine 86
Countries citing papers authored by Takaki Seki
This map shows the geographic impact of Takaki Seki'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 Takaki Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takaki Seki more than expected).
Fields of papers citing papers by Takaki Seki
This network shows the impact of papers produced by Takaki Seki. 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 Takaki Seki. The network helps show where Takaki Seki may publish in the future.
Co-authorship network of co-authors of Takaki Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Takaki Seki. A scholar is included among the top collaborators of Takaki Seki 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 Takaki Seki. Takaki Seki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 86 | |
| 3 | 47 | |
| 4 | 24 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 44 | |
| 10 | 34 | |
| 11 | 20 | |
| 12 | 12 | |
| 13 | 21 | |
| 14 | 23 | |
| 15 | 34 | |
| 16 | Organ-specific, carcinogen-induced increases in cell proliferation in p53-deficient mice. | 17 |
| 17 | CAN RETICULOCYTE CLASSIFICATION BY RNA CONTENT BE USEFUL FOR INDICATING ERYTHROPOIETIC ACTIVITY IN TOXICITY STUDIES | 0 |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 8 |
About Takaki Seki
Takaki Seki is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 713 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (8 papers), Pesticide Exposure and Toxicity (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (172 citations), Endocrinology, Diabetes and Metabolism (96 citations) and Cancer Research (82 citations). Takaki Seki has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takeshi Kunimatsu, Hitoshi Funabashi, Juki Kimura, Yasuyoshi Okuno, Tomoya Yamada, Kiyoko Bando, Jun Sakai, Takeshi Bamba, Eiichiro Fukusaki and Tokuo Sukata. Their work appears in journals such as Journal of Bone and Joint Surgery, Toxicology and Applied Pharmacology and Toxicology.
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.