Jerome P. Nilmeier
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 7
- Microbial Metabolic Engineering and Bioproduction 2
- Glycosylation and Glycoproteins Research 1
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- Enzyme Structure and Function 5
- Co-authors
- Felice C. Lightstone (3 shared papers)Daniel Kirshner (3 shared papers)Sergio Wong (2 shared papers)Edmond Y. Lau (1 shared paper)Timothy S. Carpenter (1 shared paper)Gavin E. Crooks (2 shared papers)John D. Chodera (2 shared papers)David D. L. Minh (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (3 papers)Proteins Structure Function and Bioinformatics (1 paper)PLoS Computational Biology (1 paper)Computer Physics Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Jerome P. Nilmeier
11 papers receiving 481 citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 113
- Molecular Biology 316
- Spectroscopy 46
- Statistical and Nonlinear Physics 35
- Pharmacology 36
Countries citing papers authored by Jerome P. Nilmeier
This map shows the geographic impact of Jerome P. Nilmeier'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 Jerome P. Nilmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerome P. Nilmeier more than expected).
Fields of papers citing papers by Jerome P. Nilmeier
This network shows the impact of papers produced by Jerome P. Nilmeier. 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 Jerome P. Nilmeier. The network helps show where Jerome P. Nilmeier may publish in the future.
Co-authors
The 23 scholars most cited alongside Jerome P. Nilmeier, 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 | 2014 | 241 | |
| 2 | 2011 | 86 | |
| 3 | 2014 | 48 | |
| 4 | 2013 | 27 | |
| 5 | 2013 | 22 | |
| 6 | 2011 | 22 | |
| 7 | 2010 | 16 | |
| 8 | 2008 | 12 | |
| 9 | 2009 | 9 | |
| 10 | 2014 | 6 | |
| 11 | 2017 | 5 | |
| 12 | Nonequilibrium candidate Monte Carlo: A new tool for equilibrium simulation | 2011 | 1 |
About Jerome P. Nilmeier
Jerome P. Nilmeier is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 12 papers that have together received 495 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (5 papers), Advanced Proteomics Techniques and Applications (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Glycosylation and Glycoproteins Research (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Scientific Research and Discoveries (1 paper). The work is most often cited by research in Computational Theory and Mathematics (113 citations), Molecular Biology (316 citations), Spectroscopy (46 citations), Statistical and Nonlinear Physics (35 citations) and Pharmacology (36 citations). Jerome P. Nilmeier has collaborated with scholars based in United States. Frequent co-authors include Felice C. Lightstone, Daniel Kirshner, Sergio Wong, Edmond Y. Lau, Timothy S. Carpenter, Gavin E. Crooks, John D. Chodera, David D. L. Minh, Matthew P. Jacobson and Paul D. Adams. Their work appears in journals such as Journal of Chemical Theory and Computation, Proteins Structure Function and Bioinformatics, PLoS Computational Biology, Computer Physics Communications and Proceedings of the National Academy of Sciences.
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.