Mark J. Williamson
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- Computational Drug Discovery Methods 6
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 5
- Metabolomics and Mass Spectrometry Studies 4
- Pharmacology top 2%
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications 5
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- Peptidase Inhibition and Analysis 3
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- Solid-state spectroscopy and crystallography 3
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- Advanced Battery Materials and Technologies 3
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- NMR spectroscopy and applications 3
- Co-authors
- Ross C. WalkerAndreas W. GötzDong XuDuncan PooleRobert C. GlenJonathan D. TyzackJohannes KirchmairDana T. Graves
- Journals
- Journal of Chemical Information and Modeling (6 papers)Molecular Cancer Therapeutics (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Mark J. Williamson
35 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computational Theory and Mathematics 466
- Molecular Biology 1.9k
- Pharmacology 219
- Spectroscopy 297
- Cellular and Molecular Neuroscience 199
Countries citing papers authored by Mark J. Williamson
This map shows the geographic impact of Mark J. Williamson'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 Mark J. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Williamson more than expected).
Fields of papers citing papers by Mark J. Williamson
This network shows the impact of papers produced by Mark J. Williamson. 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 Mark J. Williamson. The network helps show where Mark J. Williamson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark J. Williamson, 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 | 2021 | 7 | |
| 2 | 2020 | 45 | |
| 3 | 2018 | 20 | |
| 4 | 2015 | 14 | |
| 5 | 2014 | 22 | |
| 6 | Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Bornbreakdown → | 2012 | 1608 |
| 7 | 2009 | 73 | |
| 8 | 2006 | 57 | |
| 9 | 2006 | 3 | |
| 10 | 2005 | 11 | |
| 11 | 2005 | 15 | |
| 12 | 2003 | 63 | |
| 13 | 1999 | 14 | |
| 14 | 1999 | 24 | |
| 15 | 1999 | 23 | |
| 16 | 1998 | 33 | |
| 17 | 1997 | 274 | |
| 18 | 1996 | 58 | |
| 19 | 1989 | 176 | |
| 20 | 1978 | 85 |
About Mark J. Williamson
Mark J. Williamson is a scholar working on Fluid Flow and Transfer Processes, Spectroscopy, Computational Theory and Mathematics, Pharmacology and Immunology and Allergy, having authored 35 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Advanced NMR Techniques and Applications (5 papers), RNA and protein synthesis mechanisms (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Peptidase Inhibition and Analysis (3 papers), Solid-state spectroscopy and crystallography (3 papers), Advanced Battery Materials and Technologies (3 papers) and NMR spectroscopy and applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (466 citations), Molecular Biology (1.9k citations), Pharmacology (219 citations), Spectroscopy (297 citations) and Cellular and Molecular Neuroscience (199 citations). Mark J. Williamson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ross C. Walker, Andreas W. Götz, Dong Xu, Duncan Poole, Robert C. Glen, Jonathan D. Tyzack, Johannes Kirchmair, Dana T. Graves, Phil Skolnick and Anthony J. Valente. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Cancer Therapeutics, Journal of Cheminformatics, Polymer and Theriogenology.
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.