Geoffrey M. Downs
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography
Papers in
-
- Computational Drug Discovery Methods 9
-
- History and advancements in chemistry 8
- Co-authors
- Peter Willett (6 shared papers)John M. Barnard (5 shared papers)John D. Holliday (9 shared papers)Valerie J. Gillet (9 shared papers)Michael Lynch (5 shared papers)William Fisanick (1 shared paper)M. Charlton (1 shared paper)Roger Lahana (1 shared paper)
- Journals
- Journal of Computational Chemistry (1 paper)Wiley Interdisciplinary Reviews Computational Molecular Science (1 paper)Journal of Chemical Information and Computer Sciences (12 papers)Quantitative Structure-Activity Relationships (1 paper)
- Partner nations
- United KingdomFrance
In The Last Decade
Geoffrey M. Downs
16 papers receiving 1.7k citations
Geoffrey M. Downs's Hit Papers
Peers
Comparison fields: 5 of 129
- Computational Theory and Mathematics 1.4k
- Spectroscopy 398
- Physical and Theoretical Chemistry 146
- Molecular Biology 981
- Pharmacology 119
Countries citing papers authored by Geoffrey M. Downs
This map shows the geographic impact of Geoffrey M. Downs'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 Geoffrey M. Downs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey M. Downs more than expected).
Fields of papers citing papers by Geoffrey M. Downs
This network shows the impact of papers produced by Geoffrey M. Downs. 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 Geoffrey M. Downs. The network helps show where Geoffrey M. Downs may publish in the future.
Co-authors
The 19 scholars most cited alongside Geoffrey M. Downs, 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 | Chemical Similarity Searching Hit paper breakdown → | 1998 | 1307 |
| 2 | 1989 | 152 | |
| 3 | 1994 | 111 | |
| 4 | 2002 | 67 | |
| 5 | 1987 | 29 | |
| 6 | 1991 | 28 | |
| 7 | 1989 | 28 | |
| 8 | 2011 | 20 | |
| 9 | 1992 | 14 | |
| 10 | 1991 | 13 | |
| 11 | 1989 | 12 | |
| 12 | 1989 | 12 | |
| 13 | 1988 | 10 | |
| 14 | 1991 | 10 | |
| 15 | 1988 | 6 | |
| 16 | 1994 | 5 | |
| 17 | 1988 | 2 |
About Geoffrey M. Downs
Geoffrey M. Downs is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry, Spectroscopy, Molecular Biology and Organic Chemistry, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), History and advancements in chemistry (8 papers), Analytical Chemistry and Chromatography (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Chemistry and Stereochemistry Studies (2 papers), Molecular spectroscopy and chirality (1 paper) and Process Optimization and Integration (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Spectroscopy (398 citations), Physical and Theoretical Chemistry (146 citations), Molecular Biology (981 citations) and Pharmacology (119 citations). Geoffrey M. Downs has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Peter Willett, John M. Barnard, John D. Holliday, Valerie J. Gillet, Michael Lynch, William Fisanick, Michael Lynch, M. Charlton, Roger Lahana and Florence Casset. Their work appears in journals such as Journal of Computational Chemistry, Wiley Interdisciplinary Reviews Computational Molecular Science, Journal of Chemical Information and Computer Sciences and Quantitative Structure-Activity Relationships.
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.