Nicolas K. Shinada
- Molecular Biology
- Materials Chemistry
- Organic Chemistry
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics top 10%
- Co-authors
- Alexandre G. de BrevernPeter SchmidtkeJean‐Christophe GellyTarun NarwaniHubert SantuzNarayanaswamy SrinivasanJoseph RebehmedPierrick Craveur
- Topics
- Protein Structure and Dynamics (6 papers)Enzyme Structure and Function (6 papers)Computational Drug Discovery Methods (4 papers)
- Cited by
- Physical and Theoretical ChemistryPharmaceutical ScienceComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesJournal of Medicinal Chemistry
In The Last Decade
Nicolas K. Shinada
11 papers receiving 297 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 172
- Materials Chemistry 73
- Organic Chemistry 58
- Radiology, Nuclear Medicine and Imaging 48
- Computational Theory and Mathematics 44
Countries citing papers authored by Nicolas K. Shinada
This map shows the geographic impact of Nicolas K. Shinada'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 Nicolas K. Shinada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas K. Shinada more than expected).
Fields of papers citing papers by Nicolas K. Shinada
This network shows the impact of papers produced by Nicolas K. Shinada. 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 Nicolas K. Shinada. The network helps show where Nicolas K. Shinada may publish in the future.
Co-authorship network of co-authors of Nicolas K. Shinada
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas K. Shinada. A scholar is included among the top collaborators of Nicolas K. Shinada 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 Nicolas K. Shinada. Nicolas K. Shinada 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 | 13 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 24 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 0 | |
| 9 | 27 | |
| 10 | 147 | |
| 11 | 17 | |
| 12 | 29 |
About Nicolas K. Shinada
Nicolas K. Shinada is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Materials Chemistry, having authored 12 papers that have together received 302 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (6 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Physical and Theoretical Chemistry (35 citations), Pharmaceutical Science (17 citations) and Computational Theory and Mathematics (44 citations). Nicolas K. Shinada has collaborated with scholars based in France, Réunion and India. Frequent co-authors include Alexandre G. de Brevern, Peter Schmidtke, Jean‐Christophe Gelly, Tarun Narwani, Hubert Santuz, Narayanaswamy Srinivasan, Joseph Rebehmed, Pierrick Craveur, Frédéric Cadet and Floriane Noël. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Medicinal 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.