Alexander D. MacKerell
Impact in
- Molecular Biology top 0.01%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Physical and Theoretical Chemistry top 0.05%
Papers in
-
- Protein Structure and Dynamics 165
- DNA and Nucleic Acid Chemistry 89
- RNA and protein synthesis mechanisms 57
- Lipid Membrane Structure and Behavior 29
-
- Computational Drug Discovery Methods 73
- Co-authors
- Kenno VanommeslaegheMichael FeigJing HuangCharles L. BrooksPedro E. M. LopesOlgun GuvenchNicolas FoloppeIgor Vorobyov
- Journals
- Journal of Chemical Theory and Computation (57 papers)The Journal of Physical Chemistry B (52 papers)Journal of Computational Chemistry (35 papers)Biophysical Journal (35 papers)Journal of Chemical Information and Modeling (25 papers)
- Partner nations
- United StatesSwedenChina
In The Last Decade
Alexander D. MacKerell
469 papers receiving 57.1k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Molecular Biology 38.9k
- Physical and Theoretical Chemistry 3.2k
- Computational Theory and Mathematics 5.5k
- Atomic and Molecular Physics, and Optics 10.7k
- Spectroscopy 5.4k
Countries citing papers authored by Alexander D. MacKerell
This map shows the geographic impact of Alexander D. MacKerell'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 Alexander D. MacKerell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander D. MacKerell more than expected).
Fields of papers citing papers by Alexander D. MacKerell
This network shows the impact of papers produced by Alexander D. MacKerell. 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 Alexander D. MacKerell. The network helps show where Alexander D. MacKerell may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander D. MacKerell, 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 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 1 | |
| 15 | 2016 | 59 | |
| 16 | 2016 | 31 | |
| 17 | 2015 | 85 | |
| 18 | 2013 | 40 | |
| 19 | 2012 | 50 | |
| 20 | 2008 | 131 |
About Alexander D. MacKerell
Alexander D. MacKerell is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Spectroscopy, having authored 473 papers that have together received 57.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (165 papers), Spectroscopy and Quantum Chemical Studies (96 papers), DNA and Nucleic Acid Chemistry (89 papers), Computational Drug Discovery Methods (73 papers), RNA and protein synthesis mechanisms (57 papers), Enzyme Structure and Function (52 papers), Advanced Chemical Physics Studies (37 papers) and Lipid Membrane Structure and Behavior (29 papers). The work is most often cited by research in Molecular Biology (38.9k citations), Physical and Theoretical Chemistry (3.2k citations), Computational Theory and Mathematics (5.5k citations), Atomic and Molecular Physics, and Optics (10.7k citations) and Spectroscopy (5.4k citations). Alexander D. MacKerell has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Kenno Vanommeslaeghe, Michael Feig, Jing Huang, Charles L. Brooks, Pedro E. M. Lopes, Olgun Guvench, Nicolas Foloppe, Igor Vorobyov, Benoı̂t Roux and Richard W. Pastor. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B, Journal of Computational Chemistry, Biophysical Journal 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.