T. Dwight McGee
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
-
- Protein Structure and Dynamics 4
- DNA and Nucleic Acid Chemistry 2
-
- HIV/AIDS drug development and treatment 3
- Co-authors
- Adrián E. Roitberg (4 shared papers)Nadine Homeyer (1 shared paper)Holger Gohlke (1 shared paper)Jason Swails (1 shared paper)Bill R. Miller (1 shared paper)Tai‐Sung Lee (1 shared paper)Darrin M. York (1 shared paper)David A. Pearlman (1 shared paper)
- Journals
- Biochemistry (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)The Journal of Physical Chemistry B (1 paper)International Journal of Environmental Research and Public Health (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
T. Dwight McGee
8 papers receiving 3.8k citations
T. Dwight McGee's Hit Papers
Peers
Comparison fields: 5 of 132
- Computational Theory and Mathematics 805
- Molecular Biology 2.4k
- Toxicology 85
- Virology 106
- Infectious Diseases 411
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 | MMPBSA.py: An Efficient Program for End-State Free Energy Calculations Hit paper breakdown → | 2012 | 3477 |
| 2 | Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery Hit paper breakdown → | 2020 | 261 |
| 3 | 2014 | 38 | |
| 4 | 2014 | 27 | |
| 5 | 2008 | 20 | |
| 6 | 2017 | 10 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 6 |
About T. Dwight McGee
T. Dwight McGee is a scholar working on Molecular Biology, Infectious Diseases, Virology, Computational Theory and Mathematics and Organic Chemistry, having authored 8 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), HIV/AIDS drug development and treatment (3 papers), HIV Research and Treatment (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Computational Drug Discovery Methods (2 papers), Estrogen and related hormone effects (1 paper), Fuel Cells and Related Materials (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (805 citations), Molecular Biology (2.4k citations), Toxicology (85 citations), Virology (106 citations) and Infectious Diseases (411 citations). T. Dwight McGee has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Adrián E. Roitberg, Nadine Homeyer, Holger Gohlke, Jason Swails, Bill R. Miller, Tai‐Sung Lee, Darrin M. York, David A. Pearlman, Brian K. Radak and Hsu‐Chun Tsai. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, The Journal of Physical Chemistry B, International Journal of Environmental Research and Public Health and Journal of Chemical Information and Modeling.
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.