Eva Darian
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- Receptor Mechanisms and Signaling
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
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- Electron Spin Resonance Studies 3
-
- DNA and Nucleic Acid Chemistry 4
- Protein Structure and Dynamics 3
- RNA modifications and cancer 1
- Co-authors
- Alexander D. MacKerell (5 shared papers)Olgun Guvench (2 shared papers)Chitrangada Acharya (1 shared paper)Elizabeth Hatcher (1 shared paper)Shan Zhong (1 shared paper)Pedro E. M. Lopes (1 shared paper)Igor V. Vorobyov (1 shared paper)Subhas Chandra Kundu (1 shared paper)
- Journals
- Journal of Computational Chemistry (3 papers)Chemical Research in Toxicology (1 paper)Nucleic Acids Research (1 paper)Biochemistry (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Eva Darian
11 papers receiving 6.3k citations
Eva Darian's Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 3.6k
- Computational Theory and Mathematics 846
- Physical and Theoretical Chemistry 333
- Spectroscopy 512
- Organic Chemistry 812
Countries citing papers authored by Eva Darian
This map shows the geographic impact of Eva Darian'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 Eva Darian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Darian more than expected).
Fields of papers citing papers by Eva Darian
This network shows the impact of papers produced by Eva Darian. 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 Eva Darian. The network helps show where Eva Darian may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Darian, 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 | CHARMM general force field: A force field for drug‐like molecules compatible with the CHARMM all‐atom additive biological force fields Hit paper breakdown → | 2009 | 6046 |
| 2 | 2006 | 91 | |
| 3 | 2010 | 65 | |
| 4 | 2012 | 41 | |
| 5 | 2011 | 32 | |
| 6 | 2005 | 27 | |
| 7 | 2005 | 25 | |
| 8 | 2000 | 19 | |
| 9 | 2001 | 16 | |
| 10 | 2012 | 5 | |
| 11 | 2002 | 3 |
About Eva Darian
Eva Darian is a scholar working on Biophysics, Molecular Biology, Electronic, Optical and Magnetic Materials, Organic Chemistry and Analytical Chemistry, having authored 11 papers that have together received 6.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (4 papers), Electron Spin Resonance Studies (3 papers), Protein Structure and Dynamics (3 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Magnetism in coordination complexes (2 papers), RNA modifications and cancer (1 paper) and Organic Light-Emitting Diodes Research (1 paper). The work is most often cited by research in Molecular Biology (3.6k citations), Computational Theory and Mathematics (846 citations), Physical and Theoretical Chemistry (333 citations), Spectroscopy (512 citations) and Organic Chemistry (812 citations). Eva Darian has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Alexander D. MacKerell, Olgun Guvench, Chitrangada Acharya, Elizabeth Hatcher, Shan Zhong, Pedro E. M. Lopes, Igor V. Vorobyov, Subhas Chandra Kundu, Kenno Vanommeslaeghe and Peter M. Gannett. Their work appears in journals such as Journal of Computational Chemistry, Chemical Research in Toxicology, Nucleic Acids Research, Biochemistry and Proteins Structure Function and Bioinformatics.
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.