T. Dwight McGee
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
- Virology 3
- HIV Research and Treatment 3
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- HIV/AIDS drug development and treatment 3
- Co-authors
- Adrián E. RoitbergJason SwailsBill R. MillerHolger GohlkeNadine HomeyerHsu‐Chun TsaiCharles LinWoody Sherman
- Journals
- Biochemistry (2 papers)ChemPhysChem (1 paper)The Journal of Physical Chemistry B (1 paper)Journal of Chemical Information and Modeling (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
T. Dwight McGee
8 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 813
- Molecular Biology 2.4k
- Toxicology 87
- Infectious Diseases 420
- Virology 107
Countries citing papers authored by T. Dwight McGee
This map shows the geographic impact of T. Dwight McGee'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 T. Dwight McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dwight McGee more than expected).
Fields of papers citing papers by T. Dwight McGee
This network shows the impact of papers produced by T. Dwight McGee. 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 T. Dwight McGee. The network helps show where T. Dwight McGee may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Dwight McGee, 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 | 2022 | 5 | |
| 2 | Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery Hit paper breakdown → | 2020 | 247 |
| 3 | 2020 | 8 | |
| 4 | 2017 | 10 | |
| 5 | 2014 | 38 | |
| 6 | 2014 | 27 | |
| 7 | MMPBSA.py: An Efficient Program for End-State Free Energy Calculations Hit paper breakdown → | 2012 | 3339 |
| 8 | 2008 | 19 |
About T. Dwight McGee
T. Dwight McGee is a scholar working on Virology, Infectious Diseases, Computational Theory and Mathematics, Molecular Biology and Genetics, having authored 8 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), HIV Research and Treatment (3 papers), HIV/AIDS drug development and treatment (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Computational Drug Discovery Methods (2 papers), Dengue and Mosquito Control Research (1 paper), Estrogen and related hormone effects (1 paper) and Free Radicals and Antioxidants (1 paper). The work is most often cited by research in Computational Theory and Mathematics (813 citations), Molecular Biology (2.4k citations), Toxicology (87 citations), Infectious Diseases (420 citations) and Virology (107 citations). T. Dwight McGee has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Adrián E. Roitberg, Jason Swails, Bill R. Miller, Holger Gohlke, Nadine Homeyer, Hsu‐Chun Tsai, Charles Lin, Woody Sherman, Brian K. Radak and Bryce K. Allen. Their work appears in journals such as Biochemistry, ChemPhysChem, The Journal of Physical Chemistry B, Journal of Chemical Information and Modeling and Journal of Chemical Theory and Computation.
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.