Ed Griffen
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
Papers in
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- Computational Drug Discovery Methods 11
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- Chemical Synthesis and Analysis 2
- Co-authors
- Andrew G. Leach (7 shared papers)Daniel J. Warner (2 shared papers)Graeme R. Robb (2 shared papers)Alexander G. Dossetter (7 shared papers)Jeremy N. Burrows (3 shared papers)Andrew R. Leach (2 shared papers)Michael M. Hann (1 shared paper)Stephen A. St-Gallay (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Chemical Communications (2 papers)Journal of Chemical Information and Modeling (2 papers)Expert Opinion on Therapeutic Patents (1 paper)MedChemComm (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Ed Griffen
18 papers receiving 761 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 519
- Pharmacology 67
- Organic Chemistry 224
- Molecular Biology 456
- Spectroscopy 113
Countries citing papers authored by Ed Griffen
This map shows the geographic impact of Ed Griffen'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 Ed Griffen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Griffen more than expected).
Fields of papers citing papers by Ed Griffen
This network shows the impact of papers produced by Ed Griffen. 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 Ed Griffen. The network helps show where Ed Griffen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed Griffen, 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 | 2011 | 216 | |
| 2 | 2006 | 128 | |
| 3 | 2013 | 118 | |
| 4 | 2007 | 98 | |
| 5 | 2017 | 69 | |
| 6 | 2010 | 59 | |
| 7 | 2015 | 48 | |
| 8 | 2020 | 30 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 17 | |
| 11 | 2004 | 10 | |
| 12 | 2010 | 7 | |
| 13 | 2007 | 6 | |
| 14 | 2006 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2009 | 1 | |
| 18 | 2020 | 1 |
About Ed Griffen
Ed Griffen is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Spectroscopy and Organic Chemistry, having authored 18 papers that have together received 838 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Analytical Chemistry and Chromatography (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Click Chemistry and Applications (2 papers), Molecular spectroscopy and chirality (2 papers), Chemical Synthesis and Analysis (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (519 citations), Pharmacology (67 citations), Organic Chemistry (224 citations), Molecular Biology (456 citations) and Spectroscopy (113 citations). Ed Griffen has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Andrew G. Leach, Daniel J. Warner, Graeme R. Robb, Alexander G. Dossetter, Jeremy N. Burrows, Andrew R. Leach, Michael M. Hann, Stephen A. St-Gallay, Adam B. Shapiro and Thorsten Nowak. Their work appears in journals such as Journal of Medicinal Chemistry, Chemical Communications, Journal of Chemical Information and Modeling, Expert Opinion on Therapeutic Patents and MedChemComm.
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.