T. Yasumoto
- Environmental Chemistry top 0.1%
- Molecular Biology top 5%
- Oceanography top 2%
- Ecology top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Yasushi OhizumiMichio MurataGayle K. MatsumotoJon ClardyY. OshimaMasaki SanoMasayuki TakahashiAkira Takai
- Topics
- Marine Toxins and Detection Methods (68 papers)Nicotinic Acetylcholine Receptors Study (26 papers)Animal Ecology and Behavior Studies (8 papers)
In The Last Decade
T. Yasumoto
78 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Environmental Chemistry 2.7k
- Molecular Biology 1.7k
- Oceanography 644
- Ecology 485
- Endocrine and Autonomic Systems 328
Countries citing papers authored by T. Yasumoto
This map shows the geographic impact of T. Yasumoto'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 T. Yasumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yasumoto more than expected).
Fields of papers citing papers by T. Yasumoto
This network shows the impact of papers produced by T. Yasumoto. 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 T. Yasumoto. The network helps show where T. Yasumoto may publish in the future.
Co-authorship network of co-authors of T. Yasumoto
This figure shows the co-authorship network connecting the top 25 collaborators of T. Yasumoto. A scholar is included among the top collaborators of T. Yasumoto 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 T. Yasumoto. T. Yasumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 35 | |
| 6 | 45 | |
| 7 | 50 | |
| 8 | 66 | |
| 9 | 30 | |
| 10 | 11 | |
| 11 | Partial structures and binding studies of maitotoxin, the most potent marine toxin. | 9 |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | Bacterial transformation of paralytic shellfish toxins in coral reef crabs [Atergatis floridus and Eriphia scabricula] and a marine snail | 2 |
| 17 | Identification of a calcareous red alga as the primary source of paralytic shellfish toxins in coral reef crabs and gastropods | 32 |
| 18 | 47 | |
| 19 | Effects of ciguatoxin and maitotoxin on the isolated guinea pig atria. | 34 |
| 20 | [Significance of the various toxins present on dead coral substrata in the origin of ciguatera]. | 1 |
About T. Yasumoto
T. Yasumoto is a scholar working on Environmental Chemistry, Oceanography and Endocrine and Autonomic Systems, having authored 80 papers that have together received 3.4k indexed citations. Recurring topics across this work include Marine Toxins and Detection Methods (68 papers), Nicotinic Acetylcholine Receptors Study (26 papers) and Animal Ecology and Behavior Studies (8 papers). The work is most often cited by research in Environmental Chemistry (2.7k citations), Oceanography (644 citations) and Endocrine and Autonomic Systems (328 citations). T. Yasumoto has collaborated with scholars based in Japan, Italy and Spain. Frequent co-authors include Yasushi Ohizumi, Michio Murata, Gayle K. Matsumoto, Jon Clardy, Y. Oshima, Masaki Sano, Masayuki Takahashi, Akira Takai, Gottfried Mieskes and Mari Yotsu. Their work appears in journals such as Journal of Biological Chemistry, Environmental Science & Technology and The Journal of Physiology.
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.