Ed Griffen
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
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- Computational Drug Discovery Methods 8
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- Chemical Synthesis and Analysis 2
- Protein Tyrosine Phosphatases 1
- Co-authors
- Andrew G. Leach (5 shared papers)Daniel J. Warner (2 shared papers)Graeme R. Robb (2 shared papers)Alexander G. Dossetter (5 shared papers)Jeremy N. Burrows (2 shared papers)Andrew R. Leach (1 shared paper)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)Current Topics in Medicinal Chemistry (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ed Griffen
15 papers receiving 709 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 482
- Organic Chemistry 215
- Pharmacology 60
- Spectroscopy 110
- Molecular Biology 434
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 | 202 | |
| 2 | 2006 | 116 | |
| 3 | 2013 | 112 | |
| 4 | 2007 | 91 | |
| 5 | 2017 | 67 | |
| 6 | 2010 | 53 | |
| 7 | 2015 | 46 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 16 | |
| 11 | 2004 | 10 | |
| 12 | 2010 | 7 | |
| 13 | 2006 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2009 | 1 |
About Ed Griffen
Ed Griffen is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Organic Chemistry and Spectroscopy, having authored 15 papers that have together received 775 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Microbial Natural Products and Biosynthesis (3 papers), Analytical Chemistry and Chromatography (3 papers), Chemical Synthesis and Analysis (2 papers), Click Chemistry and Applications (2 papers), Asymmetric Synthesis and Catalysis (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (482 citations), Organic Chemistry (215 citations), Pharmacology (60 citations), Spectroscopy (110 citations) and Molecular Biology (434 citations). Ed Griffen has collaborated with scholars based in United Kingdom, United States and Switzerland. 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, Stefan Geschwindner and Niklas Blomberg. Their work appears in journals such as Journal of Medicinal Chemistry, Chemical Communications, Journal of Chemical Information and Modeling, Current Topics in Medicinal Chemistry and Drug Discovery Today.
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.