Takuma Sasaki
- Molecular Biology top 2%
- Organic Chemistry top 0.5%
- Biotechnology top 0.1%
- Pharmacology top 0.2%
- Oncology top 2%
- Co-authors
- Akira MatsudaJun’ichi KobayashiMotohiro TanakaNobuo TakasukaMasami IshibashiHideyuki ShigemoriGoro ChiharaYasushi Ohizumi
- Topics
- Marine Sponges and Natural Products (46 papers)Biochemical and Molecular Research (41 papers)HIV/AIDS drug development and treatment (36 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Takuma Sasaki
221 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 3.3k
- Organic Chemistry 2.7k
- Biotechnology 1.7k
- Pharmacology 1.7k
- Oncology 1.2k
Countries citing papers authored by Takuma Sasaki
This map shows the geographic impact of Takuma Sasaki'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 Takuma Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Sasaki more than expected).
Fields of papers citing papers by Takuma Sasaki
This network shows the impact of papers produced by Takuma Sasaki. 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 Takuma Sasaki. The network helps show where Takuma Sasaki may publish in the future.
Co-authorship network of co-authors of Takuma Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Sasaki. A scholar is included among the top collaborators of Takuma Sasaki 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 Takuma Sasaki. Takuma Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 100 | |
| 3 | 40 | |
| 4 | 8 | |
| 5 | Cleavage of Metastasis Suppressor Gene Product Kiss-1 Protein/Metastin by Matrix Metalloproteinases | 131 |
| 6 | 17 | |
| 7 | 48 | |
| 8 | 43 | |
| 9 | 10 | |
| 10 | 32 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 68 | |
| 20 | Dependence on chain length of antitumor activity of (1 leads to 3)-beta-D-glucan from Alcaligenes faecalis var. myxogenes, IFO 13140, and its acid-degraded products. | 85 |
About Takuma Sasaki
Takuma Sasaki is a scholar working on Biotechnology, Organic Chemistry and Cancer Research, having authored 222 papers that have together received 8.3k indexed citations. Recurring topics across this work include Marine Sponges and Natural Products (46 papers), Biochemical and Molecular Research (41 papers) and HIV/AIDS drug development and treatment (36 papers). The work is most often cited by research in Biotechnology (1.7k citations), Pharmacology (1.7k citations) and Organic Chemistry (2.7k citations). Takuma Sasaki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Akira Matsuda, Jun’ichi Kobayashi, Motohiro Tanaka, Nobuo Takasuka, Masami Ishibashi, Hideyuki Shigemori, Jun’ichi Kobayashi, Goro Chihara, Yasushi Ohizumi and Hazime Saitô. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.