Shôji Watanabe
- Organic Chemistry top 2%
- Molecular Biology top 10%
- Neurology top 2%
- Surgery top 5%
- Oncology top 10%
- Co-authors
- Tsutomu FujitaKoji YamanakaKumi KanekoKunihiro IchimuraJohn B. MullikenLaurence M. BoonIiro EerolaMiikka Vikkula
- Topics
- Synthetic Organic Chemistry Methods (32 papers)Asymmetric Synthesis and Catalysis (24 papers)Chemical Synthesis and Reactions (19 papers)
- Cited by
- NeurologyOrganic Chemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesBulgaria
In The Last Decade
Shôji Watanabe
251 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 172
- Organic Chemistry 1.1k
- Molecular Biology 1.1k
- Neurology 643
- Surgery 606
- Oncology 339
Countries citing papers authored by Shôji Watanabe
This map shows the geographic impact of Shôji Watanabe'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 Shôji Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shôji Watanabe more than expected).
Fields of papers citing papers by Shôji Watanabe
This network shows the impact of papers produced by Shôji Watanabe. 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 Shôji Watanabe. The network helps show where Shôji Watanabe may publish in the future.
Co-authorship network of co-authors of Shôji Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Shôji Watanabe. A scholar is included among the top collaborators of Shôji Watanabe 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 Shôji Watanabe. Shôji Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 109 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | Nonlinear Numerical Optimization Technique Based on a Genetic Algorithm for Inverse Problems: Towards the Inference of Genetic Networks | 17 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 48 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 1 |
About Shôji Watanabe
Shôji Watanabe is a scholar working on Organic Chemistry, Pharmaceutical Science and General Materials Science, having authored 276 papers that have together received 4.1k indexed citations. Recurring topics across this work include Synthetic Organic Chemistry Methods (32 papers), Asymmetric Synthesis and Catalysis (24 papers) and Chemical Synthesis and Reactions (19 papers). The work is most often cited by research in Neurology (643 citations), Organic Chemistry (1.1k citations) and Neurology (289 citations). Shôji Watanabe has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Tsutomu Fujita, Koji Yamanaka, Kumi Kaneko, Kunihiro Ichimura, John B. Mulliken, Laurence M. Boon, Iiro Eerola, Miikka Vikkula, Yoshiaki Furukawa and Nobuyuki Nukina. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.