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)John D. Chodera (2 shared papers)Lingle Wang (1 shared paper)Michael K. Gilson (2 shared papers)Vivian Jaber (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)Journal of Medicinal Chemistry (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United StatesAustriaUkraine
In The Last Decade
Nathan M. Lim
19 papers receiving 754 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 253
- Molecular Biology 569
- Spectroscopy 111
- Physical and Theoretical Chemistry 54
- Atomic and Molecular Physics, and Optics 157
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 | 124 | |
| 3 | 2013 | 118 | |
| 4 | 2016 | 65 | |
| 5 | 2018 | 53 | |
| 6 | 2014 | 50 | |
| 7 | 2020 | 41 | |
| 8 | 2011 | 32 | |
| 9 | 2019 | 25 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2020 | 19 | |
| 13 | 2018 | 16 | |
| 14 | 2014 | 13 | |
| 15 | 2014 | 13 | |
| 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 767 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), Nitric Oxide and Endothelin Effects (2 papers), Advanced Chemical Physics Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (253 citations), Molecular Biology (569 citations), Spectroscopy (111 citations), Physical and Theoretical Chemistry (54 citations) and Atomic and Molecular Physics, and Optics (157 citations). Nathan M. Lim has collaborated with scholars based in United States, Austria and Ukraine. Frequent co-authors include David L. Mobley, J. Peter Guthrie, Robert Abel, John D. Chodera, Lingle Wang, Michael K. Gilson, Vivian Jaber, Yujie Wu, Christopher M. Summa and Lin Teng. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Computer-Aided Molecular Design, Nature Methods, Journal of Medicinal Chemistry and The Journal of Physical Chemistry B.
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.