David Leys
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Biochemistry top 0.5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 27
- Porphyrin Metabolism and Disorders 25
- Enzyme Catalysis and Immobilization 24
- Photosynthetic Processes and Mechanisms 24
- Pharmacology 34
- Pharmacogenetics and Drug Metabolism 34
- Co-authors
- Nigel S. Scrutton (61 shared papers)Andrew W. Munro (49 shared papers)Colin Levy (38 shared papers)Kirsty J. McLean (31 shared papers)Mark S. Dunstan (21 shared papers)Karl Fisher (39 shared papers)K.A.P. Payne (22 shared papers)Stephen E. J. Rigby (32 shared papers)
- Journals
- Journal of Biological Chemistry (33 papers)Biochemistry (14 papers)FEBS Journal (12 papers)Nature (9 papers)Nature Communications (8 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
David Leys
187 papers receiving 8.8k citations
Peers
Comparison fields: 5 of 144
- Pharmacology 1.6k
- Biochemistry 700
- Biotechnology 712
- Molecular Biology 5.5k
- Biological Psychiatry 166
Countries citing papers authored by David Leys
This map shows the geographic impact of David Leys'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 David Leys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Leys more than expected).
Fields of papers citing papers by David Leys
This network shows the impact of papers produced by David Leys. 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 David Leys. The network helps show where David Leys may publish in the future.
Co-authors
The 25 scholars most cited alongside David Leys, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 369 | |
| 2 | 2011 | 307 | |
| 3 | 2006 | 262 | |
| 4 | 2014 | 245 | |
| 5 | 2013 | 234 | |
| 6 | 2015 | 175 | |
| 7 | 2015 | 147 | |
| 8 | 2014 | 145 | |
| 9 | 2018 | 140 | |
| 10 | 2010 | 132 | |
| 11 | 2003 | 126 | |
| 12 | 2019 | 125 | |
| 13 | 2013 | 124 | |
| 14 | 2017 | 123 | |
| 15 | 1999 | 119 | |
| 16 | 2009 | 115 | |
| 17 | 2013 | 109 | |
| 18 | 2005 | 109 | |
| 19 | 2008 | 107 | |
| 20 | 2007 | 105 |
About David Leys
David Leys is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Biotechnology and Materials Chemistry, having authored 190 papers that have together received 8.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (34 papers), Biochemical and biochemical processes (27 papers), Enzyme Structure and Function (27 papers), Microbial Metabolic Engineering and Bioproduction (27 papers), Porphyrin Metabolism and Disorders (25 papers), Enzyme Catalysis and Immobilization (24 papers), Photosynthetic Processes and Mechanisms (24 papers) and Biochemical Acid Research Studies (20 papers). The work is most often cited by research in Pharmacology (1.6k citations), Biochemistry (700 citations), Biotechnology (712 citations), Molecular Biology (5.5k citations) and Biological Psychiatry (166 citations). David Leys has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Nigel S. Scrutton, Andrew W. Munro, Colin Levy, Kirsty J. McLean, Mark S. Dunstan, Karl Fisher, K.A.P. Payne, Stephen E. J. Rigby, Helen S. Toogood and Sam Hay. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, FEBS Journal, Nature and Nature Communications.
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.