Stephane Rodde
Impact in
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- Computational Drug Discovery Methods
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
Papers in
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- Computational Drug Discovery Methods 8
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- Drug Solubulity and Delivery Systems 2
- Co-authors
- Rainer Wilcken (2 shared papers)Anikó Udvarhelyi (2 shared papers)Bernard Faller (2 shared papers)Giorgio Ottaviani (1 shared paper)Liping Zhou (1 shared paper)Marianne Fouché (3 shared papers)Sereina Riniker (3 shared papers)Stefan Grimme (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Computer-Aided Molecular Design (3 papers)Journal of Controlled Release (1 paper)Organic Process Research & Development (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Stephane Rodde
15 papers receiving 451 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 153
- Pharmaceutical Science 38
- Organic Chemistry 103
- Environmental Chemistry 28
- Molecular Biology 168
Countries citing papers authored by Stephane Rodde
This map shows the geographic impact of Stephane Rodde'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 Stephane Rodde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephane Rodde more than expected).
Fields of papers citing papers by Stephane Rodde
This network shows the impact of papers produced by Stephane Rodde. 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 Stephane Rodde. The network helps show where Stephane Rodde may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephane Rodde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 98 | |
| 2 | 2021 | 77 | |
| 3 | 2018 | 60 | |
| 4 | 2023 | 42 | |
| 5 | 2021 | 40 | |
| 6 | 2023 | 40 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 28 | |
| 9 | 2022 | 22 | |
| 10 | 2015 | 18 | |
| 11 | 2022 | 15 | |
| 12 | 2017 | 10 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 |
About Stephane Rodde
Stephane Rodde is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science, Molecular Biology, Environmental Chemistry and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 494 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (4 papers), Protein Structure and Dynamics (3 papers), Drug Solubulity and Delivery Systems (2 papers), Advanced Chemical Physics Studies (2 papers), Analytical Chemistry and Chromatography (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Pharmaceutical Science (38 citations), Organic Chemistry (103 citations), Environmental Chemistry (28 citations) and Molecular Biology (168 citations). Stephane Rodde has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Rainer Wilcken, Anikó Udvarhelyi, Bernard Faller, Giorgio Ottaviani, Liping Zhou, Marianne Fouché, Sereina Riniker, Stefan Grimme, Philipp Pracht and Suzanne M. Skolnik. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Journal of Controlled Release and Organic Process Research & Development.
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.