Nathan M. Lim

1.1k total citations
19 papers, 744 citations indexed

About

Nathan M. Lim is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Nathan M. Lim has authored 19 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nathan M. Lim's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Structure and Function (4 papers). Nathan M. Lim is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Structure and Function (4 papers). Nathan M. Lim collaborates with scholars based in United States, Austria and Canada. Nathan M. Lim's co-authors include David L. Mobley, J. Peter Guthrie, Robert Abel, John D. Chodera, Lingle Wang, Michael K. Gilson, Lin Teng, Christopher M. Summa, Vivian Jaber and Yujie Wu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physical Chemistry B and Nature Methods.

In The Last Decade

Nathan M. Lim

19 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan M. Lim United States 14 561 252 208 159 111 19 744
Stewart A. Adcock United States 8 781 1.4× 238 0.9× 265 1.3× 164 1.0× 116 1.0× 9 1.1k
Guanglei Cui United States 17 580 1.0× 152 0.6× 252 1.2× 117 0.7× 98 0.9× 23 838
Hironori Kokubo Japan 19 866 1.5× 193 0.8× 271 1.3× 236 1.5× 119 1.1× 33 1.2k
Dan Sindhikara United States 15 895 1.6× 241 1.0× 206 1.0× 182 1.1× 144 1.3× 26 1.2k
Brian K. Radak United States 17 809 1.4× 272 1.1× 216 1.0× 246 1.5× 95 0.9× 27 1.1k
Bryce K. Allen United States 10 931 1.7× 472 1.9× 235 1.1× 118 0.7× 63 0.6× 17 1.2k
Michael J. Bodkin United Kingdom 14 683 1.2× 456 1.8× 206 1.0× 65 0.4× 83 0.7× 26 990
Scott LeGrand United States 4 497 0.9× 131 0.5× 179 0.9× 122 0.8× 86 0.8× 5 803
Changge Ji China 17 630 1.1× 308 1.2× 268 1.3× 160 1.0× 132 1.2× 34 1.1k
Junjun Mao United States 14 635 1.1× 87 0.3× 139 0.7× 175 1.1× 71 0.6× 22 793

Countries citing papers authored by Nathan M. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Nathan M. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan M. Lim. 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 Nathan M. Lim. The network helps show where Nathan M. Lim may publish in the future.

Co-authorship network of co-authors of Nathan M. Lim

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

All Works

19 of 19 papers shown
1.
Coe, Kevin J., Mark Feinstein, J. William Higgins, et al.. (2022). Characterization of JNJ-2482272 [4-(4-Methyl-2-(4-(Trifluoromethyl)Phenyl)Thiazole-5-yl) Pyrimidine-2-Amine] As a Strong Aryl Hydrocarbon Receptor Activator in Rat and Human. Drug Metabolism and Disposition. 50(8). 1064–1076. 2 indexed citations
2.
Nainar, Sarah, Nathan M. Lim, Whitney England, et al.. (2020). An optimized chemical-genetic method for cell-specific metabolic labeling of RNA. Nature Methods. 17(3). 311–318. 40 indexed citations
3.
Lim, Victoria T., Nathan M. Lim, J. Alfredo Freites, et al.. (2020). Insights on small molecule binding to the Hv1 proton channel from free energy calculations with molecular dynamics simulations. Scientific Reports. 10(1). 13587–13587. 11 indexed citations
4.
Ben‐Shalom, Ido, et al.. (2020). Enhancing water sampling of buried binding sites using nonequilibrium candidate Monte Carlo. Journal of Computer-Aided Molecular Design. 35(2). 167–177. 22 indexed citations
5.
Lim, Nathan M., et al.. (2020). Sampling Conformational Changes of Bound Ligands Using Nonequilibrium Candidate Monte Carlo and Molecular Dynamics. Journal of Chemical Theory and Computation. 16(3). 1854–1865. 16 indexed citations
6.
Lim, Nathan M., et al.. (2020). Fragment Pose Prediction Using Non-equilibrium Candidate Monte Carlo and Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 16(4). 2778–2794. 9 indexed citations
7.
Lim, Nathan M., et al.. (2019). Enhancing Side Chain Rotamer Sampling Using Nonequilibrium Candidate Monte Carlo. Journal of Chemical Theory and Computation. 15(3). 1848–1862. 22 indexed citations
8.
Jandová, Zuzana, et al.. (2019). Binding Modes and Metabolism of Caffeine. Chemical Research in Toxicology. 32(7). 1374–1383. 22 indexed citations
9.
Lim, Nathan M., Patrick Grinaway, Ariën S. Rustenburg, et al.. (2018). Binding Modes of Ligands Using Enhanced Sampling (BLUES): Rapid Decorrelation of Ligand Binding Modes via Nonequilibrium Candidate Monte Carlo. The Journal of Physical Chemistry B. 122(21). 5579–5598. 49 indexed citations
10.
Mobley, David L., Caitlin C. Bannan, Andrea Rizzi, et al.. (2018). Escaping Atom Types in Force Fields Using Direct Chemical Perception. Journal of Chemical Theory and Computation. 14(11). 6076–6092. 121 indexed citations
11.
Kyrychenko, Alexander, Nathan M. Lim, Mykola V. Rodnin, et al.. (2018). Refining Protein Penetration into the Lipid Bilayer Using Fluorescence Quenching and Molecular Dynamics Simulations: The Case of Diphtheria Toxin Translocation Domain. The Journal of Membrane Biology. 251(3). 379–391. 16 indexed citations
12.
Lim, Nathan M., Lingle Wang, Robert Abel, & David L. Mobley. (2016). Sensitivity in Binding Free Energies Due to Protein Reorganization. Journal of Chemical Theory and Computation. 12(9). 4620–4631. 64 indexed citations
13.
Holden, Jeffrey K., Nathan M. Lim, & T.L. Poulos. (2014). Identification of Redox Partners and Development of a Novel Chimeric Bacterial Nitric Oxide Synthase for Structure Activity Analyses. Journal of Biological Chemistry. 289(42). 29437–29445. 13 indexed citations
14.
Mobley, David L., et al.. (2014). Blind prediction of solvation free energies from the SAMPL4 challenge. Journal of Computer-Aided Molecular Design. 28(3). 135–150. 127 indexed citations
15.
Mobley, David L., Shuai Liu, Nathan M. Lim, et al.. (2014). Blind prediction of HIV integrase binding from the SAMPL4 challenge. Journal of Computer-Aided Molecular Design. 28(4). 327–345. 48 indexed citations
16.
Holden, Jeffrey K., Soosung Kang, Scott A. Hollingsworth, et al.. (2014). Structure-Based Design of Bacterial Nitric Oxide Synthase Inhibitors. Journal of Medicinal Chemistry. 58(2). 994–1004. 12 indexed citations
17.
Wu, Yujie, Lin Teng, Robert Abel, et al.. (2013). Lead optimization mapper: automating free energy calculations for lead optimization. Journal of Computer-Aided Molecular Design. 27(9). 755–770. 113 indexed citations
18.
Bui, Minh, Nathan M. Lim, Paja Sijacic, & Zhongchi Liu. (2011). LEUNIG_HOMOLOG and LEUNIG Regulate Seed Mucilage Extrusion in ArabidopsisF. Journal of Integrative Plant Biology. 53(5). 399–408. 32 indexed citations
19.
Lim, Nathan M., et al.. (2009). 2,000 robotic applications using the National Instruments CompactRIO embedded control system. 186–194. 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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