Stephen Jelfs
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Free Radicals and Antioxidants
- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
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- Computational Drug Discovery Methods 5
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- Click Chemistry and Applications 1
- Free Radicals and Antioxidants 1
- Synthesis and biological activity 1
- Organic Chemistry Cycloaddition Reactions 1
- Co-authors
- Peter Ertl (3 shared papers)Paul M. Selzer (2 shared papers)Ansgar Schuffenhauer (1 shared paper)Jörg Mühlbacher (1 shared paper)John D. Holliday (2 shared papers)Peter Gedeck (2 shared papers)Peter Willett (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (1 paper)Current Topics in Medicinal Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)QSAR & Combinatorial Science (1 paper)Journal of Chemical Information and Computer Sciences (1 paper)
- Partner nations
- SwitzerlandUnited Kingdom
In The Last Decade
Stephen Jelfs
6 papers receiving 331 citations
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 147
- Organic Chemistry 189
- Pharmacology 51
- Molecular Biology 141
- Environmental Chemistry 20
Countries citing papers authored by Stephen Jelfs
This map shows the geographic impact of Stephen Jelfs'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 Stephen Jelfs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Jelfs more than expected).
Fields of papers citing papers by Stephen Jelfs
This network shows the impact of papers produced by Stephen Jelfs. 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 Stephen Jelfs. The network helps show where Stephen Jelfs may publish in the future.
Co-authors
The 7 scholars most cited alongside Stephen Jelfs, 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 | 2006 | 216 | |
| 2 | 2007 | 63 | |
| 3 | 2003 | 29 | |
| 4 | 2007 | 21 | |
| 5 | 2005 | 10 | |
| 6 | Development of a novel descriptor targeted to high-throughput analysis in lead exploration and combinatorial library design | 2004 | 1 |
About Stephen Jelfs
Stephen Jelfs is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Materials Chemistry, Molecular Biology and Spectroscopy, having authored 6 papers that have together received 340 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (2 papers), Click Chemistry and Applications (1 paper), Analytical Chemistry and Chromatography (1 paper), Plant biochemistry and biosynthesis (1 paper), Free Radicals and Antioxidants (1 paper), Synthesis and biological activity (1 paper) and Organic Chemistry Cycloaddition Reactions (1 paper). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Organic Chemistry (189 citations), Pharmacology (51 citations), Molecular Biology (141 citations) and Environmental Chemistry (20 citations). Stephen Jelfs has collaborated with scholars based in Switzerland and United Kingdom. Frequent co-authors include Peter Ertl, Paul M. Selzer, Ansgar Schuffenhauer, Jörg Mühlbacher, John D. Holliday, Peter Gedeck and Peter Willett. Their work appears in journals such as Journal of Medicinal Chemistry, Current Topics in Medicinal Chemistry, Journal of Chemical Information and Modeling, QSAR & Combinatorial Science and Journal of Chemical Information and Computer Sciences.
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.