Sara E. Nichols

741 total citations
14 papers, 603 citations indexed

About

Sara E. Nichols is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Sara E. Nichols has authored 14 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Infectious Diseases. Recurrent topics in Sara E. Nichols's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Receptor Mechanisms and Signaling (5 papers). Sara E. Nichols is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Receptor Mechanisms and Signaling (5 papers). Sara E. Nichols collaborates with scholars based in United States, Switzerland and Hong Kong. Sara E. Nichols's co-authors include J. Andrew McCammon, Yinglong Miao, Vincent T. Metzger, Paul M. Gasper, Riccardo Baron, Anthony Ivetac, Yi Wang, William L. Jorgensen, Julian Tirado‐Rives and Karen S. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Physical Chemistry Chemical Physics.

In The Last Decade

Sara E. Nichols

14 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara E. Nichols United States 11 483 202 115 66 58 14 603
O.V. Gnedenko Russia 17 518 1.1× 89 0.4× 39 0.3× 75 1.1× 76 1.3× 77 887
Markus H. J. Seifert Germany 14 544 1.1× 202 1.0× 81 0.7× 34 0.5× 100 1.7× 18 693
Stefan Gahbauer United States 7 425 0.9× 190 0.9× 112 1.0× 21 0.3× 64 1.1× 10 591
Christopher Higgs United Kingdom 12 432 0.9× 115 0.6× 212 1.8× 26 0.4× 67 1.2× 18 687
Johan Åqvist Sweden 9 390 0.8× 126 0.6× 32 0.3× 38 0.6× 112 1.9× 9 518
Apurba Bhattarai United States 11 462 1.0× 157 0.8× 62 0.5× 73 1.1× 23 0.4× 16 590
Nils Woetzel United States 12 556 1.2× 89 0.4× 36 0.3× 74 1.1× 49 0.8× 16 754
Xianjin Xu United States 14 478 1.0× 221 1.1× 49 0.4× 21 0.3× 73 1.3× 37 645
Francesca Perruccio United Kingdom 10 425 0.9× 217 1.1× 35 0.3× 39 0.6× 104 1.8× 12 636
D’Artagnan Greene United States 7 403 0.8× 165 0.8× 35 0.3× 19 0.3× 77 1.3× 14 583

Countries citing papers authored by Sara E. Nichols

Since Specialization
Citations

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

Fields of papers citing papers by Sara E. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara E. Nichols. 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 Sara E. Nichols. The network helps show where Sara E. Nichols may publish in the future.

Co-authorship network of co-authors of Sara E. Nichols

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

All Works

14 of 14 papers shown
1.
Miao, Yinglong, Sara E. Nichols, & J. Andrew McCammon. (2014). Free energy landscape of G-protein coupled receptors, explored by accelerated molecular dynamics. Physical Chemistry Chemical Physics. 16(14). 6398–6398. 70 indexed citations
2.
Goepfert, Christine, Sara E. Nichols, Martin A. Walter, et al.. (2014). 18F-RB390: Innovative ligand for imaging the T877A androgen receptor mutant in prostate cancer via positron emission tomography (PET). The Prostate. 75(4). 348–359. 4 indexed citations
3.
Miao, Yinglong, Sara E. Nichols, Paul M. Gasper, Vincent T. Metzger, & J. Andrew McCammon. (2013). Activation and dynamic network of the M2 muscarinic receptor. Proceedings of the National Academy of Sciences. 110(27). 10982–10987. 187 indexed citations
4.
Nichols, Sara E., et al.. (2013). Effects of histidine protonation and rotameric states on virtual screening of M. tuberculosis RmlC. Journal of Computer-Aided Molecular Design. 27(3). 235–246. 48 indexed citations
5.
Nichols, Sara E., Carlos X. Hernández, Yi Wang, & J. Andrew McCammon. (2013). Structure‐based network analysis of an evolved G protein‐coupled receptor homodimer interface. Protein Science. 22(6). 745–754. 10 indexed citations
6.
Miao, Yinglong, Sara E. Nichols, & J. Andrew McCammon. (2013). Mapping of Allosteric Druggable Sites in Activation‐Associated Conformers of the M2 Muscarinic Receptor. Chemical Biology & Drug Design. 83(2). 237–246. 44 indexed citations
7.
Lawrenz, Morgan, Jeff Wereszczynski, Juan Manuel Ortiz‐Sánchez, Sara E. Nichols, & J. Andrew McCammon. (2012). Thermodynamic integration to predict host-guest binding affinities. Journal of Computer-Aided Molecular Design. 26(5). 569–576. 26 indexed citations
8.
Ortiz‐Sánchez, Juan Manuel, Sara E. Nichols, Jacqueline Sayyah, et al.. (2012). Identification of Potential Small Molecule Binding Pockets on Rho Family GTPases. PLoS ONE. 7(7). e40809–e40809. 15 indexed citations
9.
Nichols, Sara E., Robert V. Swift, & Rommie E. Amaro. (2012). Rational Prediction with Molecular Dynamics for Hit Identification. Current Topics in Medicinal Chemistry. 12(18). 2002–2012. 18 indexed citations
10.
Nichols, Sara E., Riccardo Baron, & J. Andrew McCammon. (2011). On the Use of Molecular Dynamics Receptor Conformations for Virtual Screening. Methods in molecular biology. 819. 93–103. 18 indexed citations
11.
Nichols, Sara E., et al.. (2011). A novel steroidal antiandrogen targeting wild type and mutant androgen receptors. Biochemical Pharmacology. 82(11). 1651–1662. 9 indexed citations
12.
Nichols, Sara E., Riccardo Baron, Anthony Ivetac, & J. Andrew McCammon. (2011). Predictive Power of Molecular Dynamics Receptor Structures in Virtual Screening. Journal of Chemical Information and Modeling. 51(6). 1439–1446. 71 indexed citations
13.
Dasgupta, Tina, P. Chitnumsub, Sumalee Kamchonwongpaisan, et al.. (2009). Exploiting Structural Analysis, in Silico Screening, and Serendipity To Identify Novel Inhibitors of Drug-Resistant Falciparum Malaria. ACS Chemical Biology. 4(1). 29–40. 52 indexed citations
14.
Nichols, Sara E., Robert A. Domaoal, Vinay V. Thakur, et al.. (2009). Discovery of Wild-Type and Y181C Mutant Non-nucleoside HIV-1 Reverse Transcriptase Inhibitors Using Virtual Screening with Multiple Protein Structures. Journal of Chemical Information and Modeling. 49(5). 1272–1279. 31 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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