Takayuki Seki
- Molecular Biology
- Immunology top 10%
- Biochemistry top 2%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Parvin MerrymanQile SongPeter K. GregersenMing ShenNoriyuki MiyataKazuo TaniguchiMariko DoiHirofumi Yoshikawa
- Topics
- Eicosanoids and Hypertension Pharmacology (4 papers)Air Quality and Health Impacts (3 papers)Biochemical and Molecular Research (3 papers)
- Cited by
- BiochemistryImmunologyPharmacology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Immunology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takayuki Seki
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 353
- Immunology 255
- Biochemistry 243
- Genetics 221
- Endocrinology, Diabetes and Metabolism 144
Countries citing papers authored by Takayuki Seki
This map shows the geographic impact of Takayuki 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 Takayuki Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Seki more than expected).
Fields of papers citing papers by Takayuki Seki
This network shows the impact of papers produced by Takayuki 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 Takayuki Seki. The network helps show where Takayuki Seki may publish in the future.
Co-authorship network of co-authors of Takayuki Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Seki. A scholar is included among the top collaborators of Takayuki 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 Takayuki Seki. Takayuki 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 | 52 | |
| 2 | 22 | |
| 3 | 10 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 83 | |
| 9 | 17 | |
| 10 | 11 | |
| 11 | 167 | |
| 12 | 26 | |
| 13 | 84 | |
| 14 | 21D-02-5 Background Data of General Toxicological Parameters in CD(SD)IGS | 1 |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 52 | |
| 18 | [An autopsy report of malignant fibrous histiocytoma of the left atrium and a review of the pertinent literature]. | 4 |
| 19 | 3 | |
| 20 | HEMATOLOGICAL ALTERATIONS INDUCED BY CAPTOPRIL (1-D-3-MERCAPTO-2-METHYL-1-OXOPROPYL-L-PROLINE) IN RATS AND DOGS (The 6th Meeting for the Study of Toxic Effect) | 2 |
About Takayuki Seki
Takayuki Seki is a scholar working on Biochemistry, Pharmacology and Pharmaceutical Science, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (4 papers), Air Quality and Health Impacts (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Biochemistry (243 citations), Immunology (255 citations) and Pharmacology (97 citations). Takayuki Seki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Parvin Merryman, Qile Song, Peter K. Gregersen, Ming Shen, Noriyuki Miyata, Kazuo Taniguchi, Mariko Doi, Hirofumi Yoshikawa, Hideki Saito and Hideo Takahashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Immunology.
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.