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
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 2
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Dima Kozakov (8 shared papers)Dmitri Beglov (7 shared papers)Sándor Vajda (7 shared papers)Tanggis Bohnuud (4 shared papers)Bing Xia (3 shared papers)David R. Hall (2 shared papers)David Hall (2 shared papers)Lingqi Luo (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Chemical Information and Modeling (1 paper)Journal of Chemical Theory and Computation (1 paper)Nature Protocols (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesAustriaRussia
In The Last Decade
Scott E. Mottarella
9 papers receiving 1.7k citations
Scott E. Mottarella's Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 298
- Molecular Biology 1.2k
- Infectious Diseases 183
- Immunology 185
- Radiology, Nuclear Medicine and Imaging 184
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 25 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 | 573 |
| 2 | The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins Hit paper breakdown → | 2015 | 476 |
| 3 | New additions to the Hit paper breakdown → | 2016 | 424 |
| 4 | 2012 | 121 | |
| 5 | 2014 | 58 | |
| 6 | 2016 | 44 | |
| 7 | 2015 | 30 | |
| 8 | 2010 | 5 | |
| 9 | 2013 | 3 |
About Scott E. Mottarella
Scott E. Mottarella is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Proteoglycans and glycosaminoglycans research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (298 citations), Molecular Biology (1.2k citations), Infectious Diseases (183 citations), Immunology (185 citations) and Radiology, Nuclear Medicine and Imaging (184 citations). Scott E. Mottarella has collaborated with scholars based in United States, Austria and Russia. Frequent co-authors include Dima Kozakov, Dmitri Beglov, Sándor Vajda, Tanggis Bohnuud, Bing Xia, David R. Hall, David Hall, Lingqi Luo, Christine Yueh and Bing Xia. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Nature Protocols and Nucleic Acids Research.
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.