Scott E. Mottarella
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Receptor Mechanisms and Signaling
Papers in
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- Computational Drug Discovery Methods 5
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- Protein Structure and Dynamics 7
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Dima Kozakov (8 shared papers)Sándor Vajda (8 shared papers)David R. Hall (4 shared papers)Tanggis Bohnuud (4 shared papers)Dmitri Beglov (6 shared papers)Bing Xia (4 shared papers)Lingqi Luo (1 shared paper)Christine Yueh (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Nucleic Acids Research (1 paper)Nature Protocols (1 paper)Journal of Chemical Information and Modeling (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Scott E. Mottarella
10 papers receiving 2k citations
Scott E. Mottarella's Hit Papers
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 471
- Molecular Biology 1.1k
- Infectious Diseases 144
- Virology 20
- Cell Biology 56
Countries citing papers authored by Scott E. Mottarella
This map shows the geographic impact of Scott E. Mottarella'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 Scott E. Mottarella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott E. Mottarella more than expected).
Fields of papers citing papers by Scott E. Mottarella
This network shows the impact of papers produced by Scott E. Mottarella. 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 Scott E. Mottarella. The network helps show where Scott E. Mottarella may publish in the future.
Co-authors
The 23 scholars most cited alongside Scott E. Mottarella, 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 | How good is automated protein docking? Hit paper breakdown → | 2013 | 614 |
| 2 | The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins Hit paper breakdown → | 2015 | 523 |
| 3 | 2016 | 461 | |
| 4 | 2016 | 128 | |
| 5 | 2012 | 126 | |
| 6 | 2014 | 60 | |
| 7 | 2016 | 49 | |
| 8 | 2015 | 30 | |
| 9 | 2010 | 6 | |
| 10 | 2013 | 3 | |
| 11 | 2008 | 1 |
About Scott E. Mottarella
Scott E. Mottarella is a scholar working on Computational Theory and Mathematics, Molecular Biology, Structural Biology, Computer Graphics and Computer-Aided Design and Materials Chemistry, having authored 11 papers that have together received 2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (5 papers), Enzyme Structure and Function (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (471 citations), Molecular Biology (1.1k citations), Infectious Diseases (144 citations), Virology (20 citations) and Cell Biology (56 citations). Scott E. Mottarella has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Dima Kozakov, Sándor Vajda, David R. Hall, Tanggis Bohnuud, Dmitri Beglov, Bing Xia, Lingqi Luo, Christine Yueh, Dmitrii B. Beglov and Chi Ho Ngan. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Nature Protocols, Journal of Chemical Information and Modeling and Proceedings of the National Academy of Sciences.
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.