Daniel R. Roe
- Molecular Biology top 1%
- Protein Structure and Dynamics 18
- DNA and Nucleic Acid Chemistry 11
- RNA and protein synthesis mechanisms 9
- Computational Theory and Mathematics top 0.5%
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications 4
- Advanced NMR Techniques and Applications 4
- Infectious Diseases top 5%
- Toxicology top 2%
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- Spectroscopy and Quantum Chemical Studies 5
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- Enzyme Structure and Function 5
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- Bacteriophages and microbial interactions 3
- Co-authors
- Thomas E. CheathamCarlos SimmerlingThi Hong Hai NguyenChristina BergonzoRodrigo Galindo‐MurilloNiel M. HenriksenDavid A. CaseViktor Horn̆ák
- Journals
- Journal of Chemical Theory and Computation (8 papers)The Journal of Physical Chemistry B (5 papers)Journal of Computational Chemistry (3 papers)
- Partner nations
- United StatesUruguayNetherlands
In The Last Decade
Daniel R. Roe
35 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 5.4k
- Computational Theory and Mathematics 1.1k
- Spectroscopy 559
- Infectious Diseases 522
- Toxicology 93
Countries citing papers authored by Daniel R. Roe
This map shows the geographic impact of Daniel R. Roe'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 Daniel R. Roe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Roe more than expected).
Fields of papers citing papers by Daniel R. Roe
This network shows the impact of papers produced by Daniel R. Roe. 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 Daniel R. Roe. The network helps show where Daniel R. Roe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel R. Roe, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 6 | |
| 8 | 2018 | 211 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 117 | |
| 11 | 2016 | 17 | |
| 12 | 2015 | 107 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 136 | |
| 15 | 2014 | 12 | |
| 16 | PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Databreakdown → | 2013 | 5423 |
| 17 | 2013 | 109 | |
| 18 | 2013 | 403 | |
| 19 | 2012 | 130 | |
| 20 | 2005 | 34 |
About Daniel R. Roe
Daniel R. Roe is a scholar working on Spectroscopy, Information Systems and Management and Molecular Biology, having authored 38 papers that have together received 7.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), DNA and Nucleic Acid Chemistry (11 papers), RNA and protein synthesis mechanisms (9 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Enzyme Structure and Function (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Advanced NMR Techniques and Applications (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Computational Theory and Mathematics (1.1k citations) and Spectroscopy (559 citations). Daniel R. Roe has collaborated with scholars based in United States, Uruguay and Netherlands. Frequent co-authors include Thomas E. Cheatham, Carlos Simmerling, Thi Hong Hai Nguyen, Christina Bergonzo, Rodrigo Galindo‐Murillo, Niel M. Henriksen, David A. Case, Viktor Horn̆ák, Edward J. Maginn and Richard A. Messerly. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry B, Journal of Computational Chemistry, Journal of Chemical Information and Modeling and SAR and QSAR in environmental research.
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.