Robert A. Pearlstein

2.1k total citations
36 papers, 1.6k citations indexed

About

Robert A. Pearlstein is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Robert A. Pearlstein has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Organic Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Robert A. Pearlstein's work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Robert A. Pearlstein is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Robert A. Pearlstein collaborates with scholars based in United States, Switzerland and China. Robert A. Pearlstein's co-authors include Ramy Farid, Richard A. Friesner, Tyler Day, A. J. Hopfinger, Roy J. Vaz, David Rampe, Callum J. Dickson, Viktor Horn̆ák, José S. Duca and A. J. Hopfinger and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Brain Research.

In The Last Decade

Robert A. Pearlstein

35 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert A. Pearlstein United States 19 991 382 298 272 152 36 1.6k
Gregory A. Ross United States 17 1.2k 1.2× 507 1.3× 103 0.3× 290 1.1× 74 0.5× 26 2.0k
Sayan Mondal United States 15 1.1k 1.1× 367 1.0× 67 0.2× 208 0.8× 226 1.5× 26 1.6k
Kan Ma China 18 830 0.8× 129 0.3× 163 0.5× 74 0.3× 57 0.4× 52 1.4k
Hualiang Jiang China 25 1.0k 1.0× 105 0.3× 92 0.3× 575 2.1× 118 0.8× 58 1.8k
Vasanthy Narayanaswami United States 33 1.8k 1.8× 229 0.6× 74 0.2× 290 1.1× 271 1.8× 85 3.4k
Simon F. Campbell United Kingdom 22 833 0.8× 96 0.3× 179 0.6× 791 2.9× 123 0.8× 54 1.9k
Jenny Chong United States 24 1.9k 1.9× 748 2.0× 306 1.0× 145 0.5× 59 0.4× 57 2.8k
Ivanov As Russia 22 944 1.0× 259 0.7× 45 0.2× 172 0.6× 84 0.6× 183 1.8k
Callum J. Dickson United Kingdom 17 1.6k 1.6× 382 1.0× 68 0.2× 213 0.8× 250 1.6× 24 2.1k
Eric S. Dawson United States 21 659 0.7× 296 0.8× 70 0.2× 162 0.6× 302 2.0× 42 1.1k

Countries citing papers authored by Robert A. Pearlstein

Since Specialization
Citations

This map shows the geographic impact of Robert A. Pearlstein'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 Robert A. Pearlstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Pearlstein more than expected).

Fields of papers citing papers by Robert A. Pearlstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Pearlstein. 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 Robert A. Pearlstein. The network helps show where Robert A. Pearlstein may publish in the future.

Co-authorship network of co-authors of Robert A. Pearlstein

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Pearlstein. A scholar is included among the top collaborators of Robert A. Pearlstein 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 Robert A. Pearlstein. Robert A. Pearlstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pearlstein, Robert A., et al.. (2020). Probing the Dynamic Structure–Function and Structure-Free Energy Relationships of the Coronavirus Main Protease with Biodynamics Theory. ACS Pharmacology & Translational Science. 3(6). 1111–1143. 7 indexed citations
2.
3.
Pearlstein, Robert A., et al.. (2020). Toward in vivo relevant drug design. Drug Discovery Today. 26(3). 637–650. 3 indexed citations
4.
5.
Pearlstein, Robert A., Callum J. Dickson, & Viktor Horn̆ák. (2016). Contributions of the membrane dipole potential to the function of voltage-gated cation channels and modulation by small molecule potentiators. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(2). 177–194. 29 indexed citations
6.
Pearlstein, Robert A., Woody Sherman, & Robert Abel. (2013). Contributions of water transfer energy to protein‐ligand association and dissociation barriers: Watermap analysis of a series of p38α MAP kinase inhibitors. Proteins Structure Function and Bioinformatics. 81(9). 1509–1526. 49 indexed citations
7.
Williams, Sarah, et al.. (2012). The translocation kinetics of antibiotics through porin OmpC: Insights from structure‐based solvation mapping using WaterMap. Proteins Structure Function and Bioinformatics. 81(2). 291–299. 36 indexed citations
8.
Pearlstein, Robert A., Qiying Hu, Jing Zhou, et al.. (2010). New hypotheses about the structure–function of proprotein convertase subtilisin/kexin type 9: Analysis of the epidermal growth factor‐like repeat A docking site using WaterMap. Proteins Structure Function and Bioinformatics. 78(12). 2571–2586. 58 indexed citations
9.
Farid, Ramy, Tyler Day, Richard A. Friesner, & Robert A. Pearlstein. (2006). New insights about HERG blockade obtained from protein modeling, potential energy mapping, and docking studies. Bioorganic & Medicinal Chemistry. 14(9). 3160–3173. 406 indexed citations
10.
Pearlstein, Robert A., Roy J. Vaz, & David Rampe. (2003). Understanding the Structure−Activity Relationship of the Human Ether-a-go-go-Related Gene Cardiac K+ Channel. A Model for Bad Behavior. Journal of Medicinal Chemistry. 46(11). 2017–2022. 132 indexed citations
11.
Pearlstein, Robert A., Roy J. Vaz, Jiesheng Kang, et al.. (2003). Characterization of HERG potassium channel inhibition using CoMSiA 3D QSAR and homology modeling approaches. Bioorganic & Medicinal Chemistry Letters. 13(10). 1829–1835. 168 indexed citations
12.
Chamberlin, Margaret E., et al.. (2000). Structural Requirements for Catalysis and Dimerization of Human Methionine Adenosyltransferase I/III. Archives of Biochemistry and Biophysics. 373(1). 56–62. 4 indexed citations
13.
14.
EDWARDS, M. L., et al.. (1999). Use of electron densities in comparative molecular field analysis (CoMFA): O?H bond dissociation energies in phenols. International Journal of Quantum Chemistry. 75(3). 187–195. 3 indexed citations
15.
Siddiqi, Suhaib M., et al.. (1995). Comparative molecular field analysis of selective A3 adenosine receptor agonists. Bioorganic & Medicinal Chemistry. 3(10). 1331–1343. 22 indexed citations
16.
Lee, Yong S., Robert A. Pearlstein, & Peter F. Kador. (1994). Molecular Modeling Studies of Aldose Reductase Inhibitors. Journal of Medicinal Chemistry. 37(6). 787–792. 24 indexed citations
17.
Walters, D. Eric, et al.. (1986). A procedure for preparing models of receptor sites. Journal of Chemical Education. 63(10). 869–869. 8 indexed citations
18.
Pearlstein, Robert A., et al.. (1981). Physical association modeling of DNA alkylation. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 655(3). 432–445. 3 indexed citations
19.
Pearlstein, Robert A., et al.. (1980). Physical association of two simple alkylators to some DNA sequences. Biopolymers. 19(2). 311–324. 7 indexed citations
20.
Sidman, Richard L. & Robert A. Pearlstein. (1965). Pink-eyed dilution (p) gene in rodents: Increased pigmentation in tissue culture. Developmental Biology. 12(1). 93–116. 56 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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