Leigh Willard
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- vaccines and immunoinformatics approaches
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
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- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 2
- Genomics and Phylogenetic Studies 1
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- Enzyme Structure and Function 2
- Co-authors
- Brian D. Sykes (3 shared papers)Robert F. Boyko (3 shared papers)David S. Wishart (2 shared papers)Pierre Lavigne (1 shared paper)John R. Bagu (1 shared paper)Frederic M. Richards (1 shared paper)Wolfram Gronwald (1 shared paper)Frank D. Sönnichsen (1 shared paper)
- Journals
- Journal of Biomolecular NMR (1 paper)Protein Science (1 paper)Nucleic Acids Research (1 paper)Computer applications in the biosciences (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Leigh Willard
5 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 654
- Biotechnology 69
- Computational Theory and Mathematics 87
- Microbiology 23
- Materials Chemistry 164
Countries citing papers authored by Leigh Willard
This map shows the geographic impact of Leigh Willard'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 Leigh Willard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leigh Willard more than expected).
Fields of papers citing papers by Leigh Willard
This network shows the impact of papers produced by Leigh Willard. 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 Leigh Willard. The network helps show where Leigh Willard may publish in the future.
Co-authors
The 12 scholars most cited alongside Leigh Willard, 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 | VADAR: a web server for quantitative evaluation of protein structure quality Hit paper breakdown → | 2003 | 750 |
| 2 | 2000 | 63 | |
| 3 | 1994 | 49 | |
| 4 | 1998 | 42 | |
| 5 | The universe online: optical disks for astronomical archiving | 1990 | 1 |
About Leigh Willard
Leigh Willard is a scholar working on Molecular Biology, Materials Chemistry, Computer Networks and Communications, Pollution and Computational Mechanics, having authored 5 papers that have together received 905 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (2 papers), Glycosylation and Glycoproteins Research (2 papers), Microtubule and mitosis dynamics (1 paper), Advanced Computational Techniques and Applications (1 paper), Genomics and Phylogenetic Studies (1 paper), Advanced Database Systems and Queries (1 paper) and Pesticide and Herbicide Environmental Studies (1 paper). The work is most often cited by research in Molecular Biology (654 citations), Biotechnology (69 citations), Computational Theory and Mathematics (87 citations), Microbiology (23 citations) and Materials Chemistry (164 citations). Leigh Willard has collaborated with scholars based in Canada and United States. Frequent co-authors include Brian D. Sykes, Robert F. Boyko, David S. Wishart, Pierre Lavigne, John R. Bagu, Frederic M. Richards, Wolfram Gronwald, Frank D. Sönnichsen, Krishna Rajarathnam and A. D. Richmond. Their work appears in journals such as Journal of Biomolecular NMR, Protein Science, Nucleic Acids Research and Computer applications in the biosciences.
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.