Jonathan Lees
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Spectroscopy top 5%
Papers in
-
- Bioinformatics and Genomic Networks 19
- Protein Structure and Dynamics 16
- Genomics and Phylogenetic Studies 15
- Machine Learning in Bioinformatics 13
- RNA and protein synthesis mechanisms 8
- Microbial Metabolic Engineering and Bioproduction 5
- Co-authors
- Christine Orengo (32 shared papers)B.A. Wallace (10 shared papers)Ian Sillitoe (16 shared papers)Frank Wien (7 shared papers)Natalie L. Dawson (14 shared papers)Andrew Miles (4 shared papers)David Lee (6 shared papers)Tony E. Lewis (6 shared papers)
- Journals
- Nucleic Acids Research (15 papers)Bioinformatics (4 papers)Scientific Reports (4 papers)PLoS Computational Biology (3 papers)Pain (3 papers)
- Partner nations
- United KingdomSpainMalaysia
In The Last Decade
Jonathan Lees
65 papers receiving 4.1k citations
Jonathan Lees's Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.9k
- Spectroscopy 345
- Physiology 377
- Computational Theory and Mathematics 255
- Materials Chemistry 649
Countries citing papers authored by Jonathan Lees
This map shows the geographic impact of Jonathan Lees'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 Jonathan Lees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lees more than expected).
Fields of papers citing papers by Jonathan Lees
This network shows the impact of papers produced by Jonathan Lees. 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 Jonathan Lees. The network helps show where Jonathan Lees may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Lees, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 423 | |
| 2 | 2006 | 369 | |
| 3 | 2014 | 354 | |
| 4 | CATH: increased structural coverage of functional space Hit paper breakdown → | 2020 | 298 |
| 5 | 2016 | 278 | |
| 6 | 2016 | 245 | |
| 7 | 2004 | 225 | |
| 8 | 2012 | 177 | |
| 9 | 2017 | 134 | |
| 10 | 2003 | 133 | |
| 11 | 2015 | 102 | |
| 12 | 2018 | 97 | |
| 13 | 2011 | 82 | |
| 14 | 2003 | 81 | |
| 15 | 2020 | 81 | |
| 16 | 2007 | 66 | |
| 17 | 2015 | 57 | |
| 18 | 1988 | 57 | |
| 19 | 2005 | 54 | |
| 20 | 2018 | 52 |
About Jonathan Lees
Jonathan Lees is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Computational Theory and Mathematics and Physiology, having authored 65 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Protein Structure and Dynamics (16 papers), Genomics and Phylogenetic Studies (15 papers), Machine Learning in Bioinformatics (13 papers), RNA and protein synthesis mechanisms (8 papers), Enzyme Structure and Function (6 papers), Computational Drug Discovery Methods (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Spectroscopy (345 citations), Physiology (377 citations), Computational Theory and Mathematics (255 citations) and Materials Chemistry (649 citations). Jonathan Lees has collaborated with scholars based in United Kingdom, Spain and Malaysia. Frequent co-authors include Christine Orengo, B.A. Wallace, Ian Sillitoe, Frank Wien, Natalie L. Dawson, Andrew Miles, David Lee, Tony E. Lewis, James R. Perkins and Benoît H. Dessailly. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Scientific Reports, PLoS Computational Biology and Pain.
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.