Leo S. D. Caves
- Molecular Biology top 5%
- Protein Structure and Dynamics 17
- Gene Regulatory Network Analysis 9
- RNA and protein synthesis mechanisms 4
- Glycosylation and Glycoproteins Research 3
- Chemical Synthesis and Analysis 3
- Cell Biology top 10%
- Virology top 10%
- Spectroscopy top 5%
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- Enzyme Structure and Function 9
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- Monoclonal and Polyclonal Antibodies Research 3
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- Bacteriophages and microbial interactions 3
- Co-authors
- Karim M. ElSawyJ. Andrew McCammonBarry J. GrantAna P. C. RodriguesMartin KarplusJeffrey D. EvanseckChandra VermaRoderick E. Hubbard
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Leo S. D. Caves
43 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.1k
- Computational Theory and Mathematics 338
- Cell Biology 208
- Virology 57
- Spectroscopy 198
Countries citing papers authored by Leo S. D. Caves
This map shows the geographic impact of Leo S. D. Caves'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 Leo S. D. Caves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo S. D. Caves more than expected).
Fields of papers citing papers by Leo S. D. Caves
This network shows the impact of papers produced by Leo S. D. Caves. 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 Leo S. D. Caves. The network helps show where Leo S. D. Caves may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leo S. D. Caves, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2014 | 16 | |
| 5 | 2013 | 34 | |
| 6 | 2013 | 19 | |
| 7 | 2012 | 16 | |
| 8 | 2011 | 10 | |
| 9 | RBN-World: The Hunt for a Rich AChem | 2010 | 4 |
| 10 | 2010 | 21 | |
| 11 | RBN-World: a sub-symbolic artificial chemistry | 2009 | 7 |
| 12 | Protein folding with stochastic L-systems | 2008 | 8 |
| 13 | 2007 | 48 | |
| 14 | 2005 | 195 | |
| 15 | 2001 | 105 | |
| 16 | 2000 | 11 | |
| 17 | 1998 | 32 | |
| 18 | 1998 | 394 | |
| 19 | 1997 | 30 | |
| 20 | 1994 | 48 |
About Leo S. D. Caves
Leo S. D. Caves is a scholar working on Medical Laboratory Technology, Molecular Biology and Computational Theory and Mathematics, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (9 papers), Gene Regulatory Network Analysis (9 papers), RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Computational Theory and Mathematics (338 citations) and Cell Biology (208 citations). Leo S. D. Caves has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Karim M. ElSawy, J. Andrew McCammon, Barry J. Grant, Ana P. C. Rodrigues, Martin Karplus, Jeffrey D. Evanseck, Chandra Verma, Roderick E. Hubbard, Reidun Twarock and David P. Lane. Their work appears in journals such as Nature Genetics, Bioinformatics and Journal of Molecular Biology.
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.