Daniel M. Zuckerman
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
-
- Advanced Thermodynamics and Statistical Mechanics
Papers in
- Spectroscopy 25
- Mass Spectrometry Techniques and Applications 18
- Co-authors
- Edward LymanThomas B. WoolfLillian T. ChongF. Marty YtrebergAlan GrossfieldBin W. ZhangDavid JasnowDivesh Bhatt
- Journals
- Journal of Chemical Theory and Computation (17 papers)Biophysical Journal (16 papers)The Journal of Chemical Physics (14 papers)The Journal of Physical Chemistry B (7 papers)Journal of Computational Chemistry (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daniel M. Zuckerman
113 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 3.0k
- Statistical and Nonlinear Physics 492
- Spectroscopy 606
- Atomic and Molecular Physics, and Optics 969
- Structural Biology 44
Countries citing papers authored by Daniel M. Zuckerman
This map shows the geographic impact of Daniel M. Zuckerman'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 M. Zuckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Zuckerman more than expected).
Fields of papers citing papers by Daniel M. Zuckerman
This network shows the impact of papers produced by Daniel M. Zuckerman. 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 M. Zuckerman. The network helps show where Daniel M. Zuckerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Zuckerman, 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 | 2022 | 49 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 45 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 25 | |
| 10 | 2018 | 136 | |
| 11 | 2018 | 4 | |
| 12 | 2018 | 2 | |
| 13 | 2016 | 18 | |
| 14 | 2014 | 69 | |
| 15 | 2014 | 8 | |
| 16 | Steady state via weighted ensemble path sampling | 2009 | 3 |
| 17 | Rapid equilibrium sampling of all-atom peptides using a library-based polymer-growth approach | 2009 | 1 |
| 18 | 2008 | 10 | |
| 19 | Inside Sourcefinder: Predicting the Acceptability Status of Candidate Reading-Comprehension Source Documents. Research Report. ETS RR-06-24. | 2006 | 3 |
| 20 | Analysis, improvement, and extension of electrolyte theories | 1998 | 1 |
About Daniel M. Zuckerman
Daniel M. Zuckerman is a scholar working on Spectroscopy, Filtration and Separation, Structural Biology, Statistical and Nonlinear Physics and Molecular Biology, having authored 119 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (60 papers), Spectroscopy and Quantum Chemical Studies (19 papers), Mass Spectrometry Techniques and Applications (18 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers), Gene Regulatory Network Analysis (11 papers), Phase Equilibria and Thermodynamics (10 papers), Enzyme Structure and Function (9 papers) and Machine Learning in Materials Science (9 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Statistical and Nonlinear Physics (492 citations), Spectroscopy (606 citations), Atomic and Molecular Physics, and Optics (969 citations) and Structural Biology (44 citations). Daniel M. Zuckerman has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Edward Lyman, Thomas B. Woolf, Lillian T. Chong, F. Marty Ytreberg, Alan Grossfield, Bin W. Zhang, David Jasnow, Divesh Bhatt, Ernesto Suárez and Jeremy Copperman. Their work appears in journals such as Journal of Chemical Theory and Computation, Biophysical Journal, The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of Computational Chemistry.
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.