Scott E. Mottarella
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- Computational Drug Discovery Methods 4
- Molecular Biology top 10%
- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 2
- Chemical Synthesis and Analysis 1
- Glycosylation and Glycoproteins Research 1
- Infectious Diseases top 10%
- Biotechnology top 10%
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- Enzyme Structure and Function 3
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- Monoclonal and Polyclonal Antibodies Research 2
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- Force Microscopy Techniques and Applications 1
- Co-authors
- Dima KozakovDmitri BeglovSándor VajdaTanggis BohnuudBing XiaDavid R. HallDavid HallLaurie E. Grove
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Chemical Theory and Computation (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesAustriaFrance
In The Last Decade
Scott E. Mottarella
9 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 310
- Molecular Biology 1.2k
- Infectious Diseases 198
- Immunology 207
- Biotechnology 80
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-authorship network
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 | 2016 | 44 | |
| 2 | 2016 | 409 | |
| 3 | The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteinsbreakdown → | 2015 | 463 |
| 4 | 2015 | 30 | |
| 5 | 2014 | 54 | |
| 6 | 2013 | 3 | |
| 7 | How good is automated protein docking?breakdown → | 2013 | 556 |
| 8 | 2012 | 119 | |
| 9 | 2010 | 5 |
About Scott E. Mottarella
Scott E. Mottarella is a scholar working on Computational Theory and Mathematics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, 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), Force Microscopy Techniques and Applications (1 paper), Chemical Synthesis and Analysis (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (310 citations), Molecular Biology (1.2k citations) and Infectious Diseases (198 citations). Scott E. Mottarella has collaborated with scholars based in United States, Austria and France. Frequent co-authors include Dima Kozakov, Dmitri Beglov, Sándor Vajda, Tanggis Bohnuud, Bing Xia, David R. Hall, David Hall, Laurie E. Grove, Lingqi Luo and Christine Yueh. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Chemical Theory and Computation, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Journal of Chemical Information and Modeling.
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.