Takashi Seki
- Molecular Biology top 5%
- Cell Biology top 2%
- Physiology top 5%
- Organic Chemistry top 5%
- Complementary and alternative medicine top 1%
- Co-authors
- Gary BrookerHisashi YokoshikiAna OliveraSarah SpiegelNaishadh DesaiMasanori SunagawaNicholas SperelakisT. Nishimoto
- Topics
- Acupuncture Treatment Research Studies (21 papers)Healthcare and Venom Research (10 papers)Traditional Chinese Medicine Studies (8 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takashi Seki
157 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 2.3k
- Cell Biology 644
- Physiology 565
- Organic Chemistry 441
- Complementary and alternative medicine 378
Countries citing papers authored by Takashi Seki
This map shows the geographic impact of Takashi 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 Takashi Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Seki more than expected).
Fields of papers citing papers by Takashi Seki
This network shows the impact of papers produced by Takashi 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 Takashi Seki. The network helps show where Takashi Seki may publish in the future.
Co-authorship network of co-authors of Takashi Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Seki. A scholar is included among the top collaborators of Takashi 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 Takashi Seki. Takashi 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | Antitumorous activity of alpha-bisabolol against pancreatic cancer | 1 |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | A Quantitative Evaluation of Epstein-Barr Virus Infected Cells in the Peripheral Blood Mononuclear Cells of Children with Reactivated Antibody Response to Epstein-Barr Virus | 1 |
| 13 | 8 | |
| 14 | Polycythemia vera in a 12-year-old girl. | 1 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 1 |
About Takashi Seki
Takashi Seki is a scholar working on Complementary and alternative medicine, Cell Biology and Pharmacology, having authored 171 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (21 papers), Healthcare and Venom Research (10 papers) and Traditional Chinese Medicine Studies (8 papers). The work is most often cited by research in Complementary and alternative medicine (378 citations), Pharmacology (346 citations) and Cell Biology (644 citations). Takashi Seki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Gary Brooker, Hisashi Yokoshiki, Ana Olivera, Sarah Spiegel, Naishadh Desai, Masanori Sunagawa, Nicholas Sperelakis, T. Nishimoto, Naoyuki Hayashi and T. Ohba. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.