Simon C. Lovell
Impact in
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- vaccines and immunoinformatics approaches
- Structural Biology top 1%
Papers in
-
- Protein Structure and Dynamics 37
- Genomics and Phylogenetic Studies 12
- Bioinformatics and Genomic Networks 12
- Fungal and yeast genetics research 12
- Microbial Metabolic Engineering and Bioproduction 10
- RNA and protein synthesis mechanisms 9
- Glycosylation and Glycoproteins Research 7
- Virology 4
- Co-authors
- David RichardsonJane S. RichardsonJ. Michael WordMichael G. PrisantW.B. ArendallPaul I. W. de BakkerIan DavisDavid L. Robertson
- Journals
- Proteins Structure Function and Bioinformatics (9 papers)PLoS ONE (9 papers)Journal of Molecular Biology (6 papers)Bioinformatics (4 papers)Molecular Biology and Evolution (4 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Simon C. Lovell
77 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 9.0k
- Structural Biology 147
- Computational Theory and Mathematics 939
- Biotechnology 492
- Materials Chemistry 2.6k
Countries citing papers authored by Simon C. Lovell
This map shows the geographic impact of Simon C. Lovell'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 Simon C. Lovell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon C. Lovell more than expected).
Fields of papers citing papers by Simon C. Lovell
This network shows the impact of papers produced by Simon C. Lovell. 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 Simon C. Lovell. The network helps show where Simon C. Lovell may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon C. Lovell, 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 | 2022 | 1 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 15 | |
| 5 | 2017 | 27 | |
| 6 | 2016 | 6 | |
| 7 | 2015 | 11 | |
| 8 | 2015 | 39 | |
| 9 | 2015 | 20 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 5 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2011 | 38 | |
| 15 | 2010 | 23 | |
| 16 | 2004 | 26 | |
| 17 | 2003 | 22 | |
| 18 | Asparagine and glutamine: using hydrogen atom contacts in the choice of side-chain amide orientation 1 1Edited by J. Thornton Hit paper breakdown → | 1999 | 1185 |
| 19 | 1998 | 12 | |
| 20 | 1992 | 6 |
About Simon C. Lovell
Simon C. Lovell is a scholar working on Molecular Biology, Virology, Genetics, Materials Chemistry and Cell Biology, having authored 77 papers that have together received 12.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (37 papers), Enzyme Structure and Function (23 papers), Genomics and Phylogenetic Studies (12 papers), Bioinformatics and Genomic Networks (12 papers), Fungal and yeast genetics research (12 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), RNA and protein synthesis mechanisms (9 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Molecular Biology (9.0k citations), Structural Biology (147 citations), Computational Theory and Mathematics (939 citations), Biotechnology (492 citations) and Materials Chemistry (2.6k citations). Simon C. Lovell has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Richardson, Jane S. Richardson, J. Michael Word, Michael G. Prisant, W.B. Arendall, Paul I. W. de Bakker, Ian Davis, David L. Robertson, D.A. Keedy and Steven M. Lewis. Their work appears in journals such as Proteins Structure Function and Bioinformatics, PLoS ONE, Journal of Molecular Biology, Bioinformatics and Molecular Biology and Evolution.
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.