Satoshi Yaginuma
- Molecular Biology
- Organic Chemistry top 10%
- Pharmacology top 5%
- Infectious Diseases top 10%
- Biotechnology top 10%
- Co-authors
- Mitsuo HayashiNaoki MutoMasatoshi TsujinoM. OtaniYasuhiro SudateKazumi NakatsuHiroshi YoshiokaSusumu Mitsuhashi
- Topics
- Microbial Natural Products and Biosynthesis (7 papers)Cancer therapeutics and mechanisms (6 papers)Antibiotic Resistance in Bacteria (5 papers)
- Journals
- Antimicrobial Agents and ChemotherapyBioorganic & Medicinal Chemistry LettersThe Journal of Antibiotics
- Partner nations
- Japan
In The Last Decade
Satoshi Yaginuma
28 papers receiving 612 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 386
- Organic Chemistry 271
- Pharmacology 193
- Infectious Diseases 141
- Biotechnology 71
Countries citing papers authored by Satoshi Yaginuma
This map shows the geographic impact of Satoshi Yaginuma'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 Satoshi Yaginuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Yaginuma more than expected).
Fields of papers citing papers by Satoshi Yaginuma
This network shows the impact of papers produced by Satoshi Yaginuma. 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 Satoshi Yaginuma. The network helps show where Satoshi Yaginuma may publish in the future.
Co-authorship network of co-authors of Satoshi Yaginuma
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Yaginuma. A scholar is included among the top collaborators of Satoshi Yaginuma 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 Satoshi Yaginuma. Satoshi Yaginuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sporostatin, a novel and specific inhibitor of EGF receptor kinase. | 9 |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 39 | |
| 5 | 24 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | Method of identifying inhibitors of oncogenic transformation: selective inhibition of cell growth in serum-free medium. | 18 |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 221 | |
| 17 | 3 | |
| 18 | 31 | |
| 19 | 10 | |
| 20 | 27 |
About Satoshi Yaginuma
Satoshi Yaginuma is a scholar working on Molecular Medicine, Pharmacology and Microbiology, having authored 28 papers that have together received 662 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (7 papers), Cancer therapeutics and mechanisms (6 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Molecular Medicine (68 citations), Pharmacology (193 citations) and Organic Chemistry (271 citations). Satoshi Yaginuma has collaborated with scholars based in Japan. Frequent co-authors include Mitsuo Hayashi, Naoki Muto, Masatoshi Tsujino, M. Otani, Yasuhiro Sudate, Kazumi Nakatsu, Hiroshi Yoshioka, Susumu Mitsuhashi, Kiyoshi OGAWA and Masaki Takada. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry Letters and The Journal of Antibiotics.
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.