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 6
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- Free Radicals and Antioxidants 3
- Co-authors
- Anikó Udvarhelyi (2 shared papers)Rainer Wilcken (2 shared papers)Bernard Faller (2 shared papers)Giorgio Ottaviani (1 shared paper)Liping Zhou (1 shared paper)Philipp Pracht (1 shared paper)Stefan Grimme (1 shared paper)Hans‐Jörg Roth (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Journal of Computer-Aided Molecular Design (3 papers)Journal of Medicinal Chemistry (3 papers)RSC Advances (1 paper)SLAS TECHNOLOGY (1 paper)
- Partner nations
- SwitzerlandUnited StatesChina
In The Last Decade
Stephane Rodde
13 papers receiving 353 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 118
- Pharmaceutical Science 32
- Organic Chemistry 138
- Environmental Chemistry 38
- Microbiology 17
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 | 86 | |
| 2 | 2021 | 62 | |
| 3 | 2018 | 53 | |
| 4 | 2023 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2019 | 30 | |
| 7 | 2020 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2015 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2017 | 7 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 |
About Stephane Rodde
Stephane Rodde is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Spectroscopy and Materials Chemistry, having authored 13 papers that have together received 365 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (3 papers), Free Radicals and Antioxidants (3 papers), Machine Learning in Materials Science (3 papers), Chemistry and Chemical Engineering (2 papers), Chemical Synthesis and Analysis (2 papers), Antimicrobial Peptides and Activities (2 papers) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (118 citations), Pharmaceutical Science (32 citations), Organic Chemistry (138 citations), Environmental Chemistry (38 citations) and Microbiology (17 citations). Stephane Rodde has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Anikó Udvarhelyi, Rainer Wilcken, Bernard Faller, Giorgio Ottaviani, Liping Zhou, Philipp Pracht, Stefan Grimme, Hans‐Jörg Roth, Sereina Riniker and Peter Gedeck. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, RSC Advances and SLAS TECHNOLOGY.
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.