Nathan M. Lim
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 3
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- Enzyme Structure and Function 4
- Machine Learning in Materials Science 2
- Co-authors
- David L. Mobley (14 shared papers)J. Peter Guthrie (1 shared paper)Robert Abel (2 shared papers)Lingle Wang (1 shared paper)John D. Chodera (2 shared papers)Michael K. Gilson (2 shared papers)Christopher M. Summa (1 shared paper)Yujie Wu (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (5 papers)Journal of Computer-Aided Molecular Design (4 papers)Nature Methods (1 paper)The Journal of Membrane Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaUkraine
In The Last Decade
Nathan M. Lim
19 papers receiving 729 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 252
- Molecular Biology 561
- Spectroscopy 111
- Physical and Theoretical Chemistry 55
- Atomic and Molecular Physics, and Optics 159
Countries citing papers authored by Nathan M. Lim
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
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-authors
The 25 scholars most cited alongside Nathan M. Lim, 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 | 2014 | 127 | |
| 2 | 2018 | 121 | |
| 3 | 2013 | 113 | |
| 4 | 2016 | 64 | |
| 5 | 2018 | 49 | |
| 6 | 2014 | 48 | |
| 7 | 2020 | 40 | |
| 8 | 2011 | 32 | |
| 9 | 2019 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2018 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2014 | 13 | |
| 15 | 2014 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2009 | 5 | |
| 19 | 2022 | 2 |
About Nathan M. Lim
Nathan M. Lim is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Pharmacology, having authored 19 papers that have together received 744 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (4 papers), RNA and protein synthesis mechanisms (3 papers), Advanced Chemical Physics Studies (2 papers), Machine Learning in Materials Science (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Computational Theory and Mathematics (252 citations), Molecular Biology (561 citations), Spectroscopy (111 citations), Physical and Theoretical Chemistry (55 citations) and Atomic and Molecular Physics, and Optics (159 citations). Nathan M. Lim has collaborated with scholars based in United States, Canada and Ukraine. Frequent co-authors include David L. Mobley, J. Peter Guthrie, Robert Abel, Lingle Wang, John D. Chodera, Michael K. Gilson, Christopher M. Summa, Yujie Wu, Vivian Jaber and Lin Teng. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Computer-Aided Molecular Design, Nature Methods, The Journal of Membrane Biology and Scientific Reports.
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.