John Mongan
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Receptor Mechanisms and Signaling
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 5
- DNA and Nucleic Acid Chemistry 2
- Photosynthetic Processes and Mechanisms 1
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- Spectroscopy and Quantum Chemical Studies 5
- Co-authors
- J. Andrew McCammon (5 shared papers)Donald Hamelberg (1 shared paper)David A. Case (3 shared papers)Alexey V. Onufriev (2 shared papers)Carlos Simmerling (1 shared paper)Seth M. Cohen (2 shared papers)Ba L. Tran (1 shared paper)D.T. Puerta (1 shared paper)
- Journals
- The Journal of Chemical Physics (2 papers)Journal of Chemical Theory and Computation (1 paper)Journal of the American Chemical Society (1 paper)Journal of Computational Chemistry (1 paper)ChemMedChem (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
John Mongan
8 papers receiving 2.3k citations
John Mongan's Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.9k
- Computational Theory and Mathematics 309
- Spectroscopy 310
- Atomic and Molecular Physics, and Optics 497
- Materials Chemistry 528
Countries citing papers authored by John Mongan
This map shows the geographic impact of John Mongan'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 John Mongan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mongan more than expected).
Fields of papers citing papers by John Mongan
This network shows the impact of papers produced by John Mongan. 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 John Mongan. The network helps show where John Mongan may publish in the future.
Co-authors
The 9 scholars most cited alongside John Mongan, 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 | Accelerated molecular dynamics: A promising and efficient simulation method for biomolecules Hit paper breakdown → | 2004 | 1231 |
| 2 | 2004 | 422 | |
| 3 | 2006 | 345 | |
| 4 | 2005 | 129 | |
| 5 | 2004 | 81 | |
| 6 | 2005 | 72 | |
| 7 | 2007 | 46 | |
| 8 | 2006 | 35 |
About John Mongan
John Mongan is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Spectroscopy, Genetics and Oncology, having authored 8 papers that have together received 2.4k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (5 papers), Protein Structure and Dynamics (5 papers), DNA and Nucleic Acid Chemistry (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Molecular spectroscopy and chirality (1 paper), Enzyme Structure and Function (1 paper), Peptidase Inhibition and Analysis (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Computational Theory and Mathematics (309 citations), Spectroscopy (310 citations), Atomic and Molecular Physics, and Optics (497 citations) and Materials Chemistry (528 citations). John Mongan has collaborated with scholars based in United States and Austria. Frequent co-authors include J. Andrew McCammon, Donald Hamelberg, David A. Case, Alexey V. Onufriev, Carlos Simmerling, Seth M. Cohen, Ba L. Tran, D.T. Puerta and Jana A. Lewis. Their work appears in journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation, Journal of the American Chemical Society, Journal of Computational Chemistry and ChemMedChem.
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.