Nathan Schmid
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Spectroscopy top 5%
Papers in
-
- Protein Structure and Dynamics 10
- Chemical Synthesis and Analysis 2
- RNA and protein synthesis mechanisms 2
- DNA and Nucleic Acid Chemistry 1
-
- Enzyme Structure and Function 5
- Co-authors
- Wilfred F. van Gunsteren (12 shared papers)Andreas P. Eichenberger (4 shared papers)Sereina Riniker (2 shared papers)Moritz Winger (1 shared paper)Alan E. Mark (1 shared paper)Alexandra Choutko (1 shared paper)Clara D. Christ (1 shared paper)Markus Christen (1 shared paper)
- Journals
- Journal of Computational Chemistry (3 papers)Biochemistry (2 papers)Journal of Biomolecular NMR (2 papers)Molecular Physics (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- SwitzerlandGermanySlovenia
In The Last Decade
Nathan Schmid
12 papers receiving 2.8k citations
Nathan Schmid's Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.6k
- Spectroscopy 268
- Physical and Theoretical Chemistry 145
- Computational Theory and Mathematics 249
- Atomic and Molecular Physics, and Optics 443
Countries citing papers authored by Nathan Schmid
This map shows the geographic impact of Nathan Schmid'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 Nathan Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Schmid more than expected).
Fields of papers citing papers by Nathan Schmid
This network shows the impact of papers produced by Nathan Schmid. 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 Nathan Schmid. The network helps show where Nathan Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Schmid, 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 | Definition and testing of the GROMOS force-field versions 54A7 and 54B7 Hit paper breakdown → | 2011 | 2094 |
| 2 | 2011 | 291 | |
| 3 | 2011 | 189 | |
| 4 | 2011 | 104 | |
| 5 | 2011 | 45 | |
| 6 | 2012 | 23 | |
| 7 | 2014 | 21 | |
| 8 | 2010 | 21 | |
| 9 | 2007 | 18 | |
| 10 | 2011 | 18 | |
| 11 | 2008 | 13 | |
| 12 | 2007 | 5 | |
| 13 | 2020 | 0 |
About Nathan Schmid
Nathan Schmid is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Spectroscopy and Physical and Theoretical Chemistry, having authored 13 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Chemical Synthesis and Analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA and Nucleic Acid Chemistry (1 paper) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Molecular Biology (1.6k citations), Spectroscopy (268 citations), Physical and Theoretical Chemistry (145 citations), Computational Theory and Mathematics (249 citations) and Atomic and Molecular Physics, and Optics (443 citations). Nathan Schmid has collaborated with scholars based in Switzerland, Germany and Slovenia. Frequent co-authors include Wilfred F. van Gunsteren, Andreas P. Eichenberger, Sereina Riniker, Moritz Winger, Alan E. Mark, Alexandra Choutko, Clara D. Christ, Markus Christen, Jane R. Allison and Daan P. Geerke. Their work appears in journals such as Journal of Computational Chemistry, Biochemistry, Journal of Biomolecular NMR, Molecular Physics and Journal of Chemical Theory and Computation.
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.