Scott E. Mottarella

2.6k total citations · 3 hit papers
9 papers, 1.7k citations indexed

About

Scott E. Mottarella is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Scott E. Mottarella has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Scott E. Mottarella's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Structure and Function (3 papers). Scott E. Mottarella is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Structure and Function (3 papers). Scott E. Mottarella collaborates with scholars based in United States, France and Austria. Scott E. Mottarella's co-authors include Dima Kozakov, Dmitri Beglov, Sándor Vajda, Tanggis Bohnuud, Bing Xia, David R. Hall, David Hall, Lingqi Luo, Laurie E. Grove and Bing Xia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Protocols.

In The Last Decade

Scott E. Mottarella

9 papers receiving 1.7k citations

Hit Papers

How good is automated protein docking? 2013 2026 2017 2021 2013 2015 2016 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott E. Mottarella United States 7 1.2k 310 207 203 198 9 1.7k
Tanggis Bohnuud United States 11 1.5k 1.2× 373 1.2× 271 1.3× 343 1.7× 232 1.2× 14 2.0k
Julien Rey France 19 1.2k 1.0× 300 1.0× 167 0.8× 157 0.8× 154 0.8× 32 1.7k
Lukáš Pravda Czechia 10 1.3k 1.1× 203 0.7× 140 0.7× 138 0.7× 204 1.0× 23 1.9k
Carl Schmitz Australia 4 1.5k 1.2× 175 0.6× 258 1.2× 214 1.1× 258 1.3× 6 2.0k
Ryan Brenke United States 11 1.5k 1.2× 536 1.7× 183 0.9× 266 1.3× 115 0.6× 13 1.9k
Brian Jiménez‐García Spain 19 1.6k 1.3× 389 1.3× 157 0.8× 290 1.4× 141 0.7× 30 1.9k
Gaoqi Weng China 16 1.2k 1.0× 435 1.4× 115 0.6× 155 0.8× 184 0.9× 25 1.5k
Carlos H. M. Rodrigues Australia 18 1.5k 1.2× 289 0.9× 114 0.6× 130 0.6× 404 2.0× 39 2.1k
Rodrigo V. Honorato Brazil 18 1.0k 0.8× 196 0.6× 108 0.5× 93 0.5× 113 0.6× 36 1.6k
Huanyu Tao China 12 995 0.8× 179 0.6× 128 0.6× 116 0.6× 246 1.2× 21 1.5k

Countries citing papers authored by Scott E. Mottarella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Scott E. Mottarella

This figure shows the co-authorship network connecting the top 25 collaborators of Scott E. Mottarella. A scholar is included among the top collaborators of Scott E. Mottarella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott E. Mottarella. Scott E. Mottarella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Padhorny, Dzmitry, Andrey Kazennov, Brandon S. Zerbe, et al.. (2016). Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds. Proceedings of the National Academy of Sciences. 113(30). E4286–93. 44 indexed citations
2.
Vajda, Sándor, Christine Yueh, Dmitri Beglov, et al.. (2016). New additions to the ClusPro server motivated by CAPRI. Proteins Structure Function and Bioinformatics. 85(3). 435–444. 409 indexed citations breakdown →
3.
Kozakov, Dima, Laurie E. Grove, David R. Hall, et al.. (2015). The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins. Nature Protocols. 10(5). 733–755. 463 indexed citations breakdown →
4.
Villar, Eugenio, Scott E. Mottarella, Dmitri Beglov, et al.. (2015). Energy Minimization on Manifolds for Docking Flexible Molecules. Journal of Chemical Theory and Computation. 11(3). 1063–1076. 30 indexed citations
5.
Mottarella, Scott E., Dmitri Beglov, Natalia Beglova, et al.. (2014). Docking Server for the Identification of Heparin Binding Sites on Proteins. Journal of Chemical Information and Modeling. 54(7). 2068–2078. 54 indexed citations
6.
Villar, Eugenio, Scott E. Mottarella, Dmitri Beglov, et al.. (2013). Flexible refinement of protein-ligand docking on manifolds. PubMed. 65. 1392–1397. 3 indexed citations
7.
Kozakov, Dima, Dmitri Beglov, Tanggis Bohnuud, et al.. (2013). How good is automated protein docking?. Proteins Structure Function and Bioinformatics. 81(12). 2159–2166. 556 indexed citations breakdown →
8.
Bohnuud, Tanggis, Scott E. Mottarella, Dmitri Beglov, et al.. (2012). FTMAP: extended protein mapping with user-selected probe molecules. Nucleic Acids Research. 40(W1). W271–W275. 119 indexed citations
9.
Mottarella, Scott E., et al.. (2010). Conscript: RasMol to PyMOL script converter. Biochemistry and Molecular Biology Education. 38(6). 419–422. 5 indexed citations

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.

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