Eva Darian
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- 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
Papers in
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- DNA and Nucleic Acid Chemistry 3
- Protein Structure and Dynamics 2
- Advanced biosensing and bioanalysis techniques 1
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- Electron Spin Resonance Studies 3
- Co-authors
- Alexander D. MacKerell (4 shared papers)Olgun Guvench (2 shared papers)Chitrangada Acharya (1 shared paper)Elizabeth Hatcher (1 shared paper)Kenno Vanommeslaeghe (1 shared paper)Igor Vorobyov (1 shared paper)Pedro E. M. Lopes (1 shared paper)J. Shim (1 shared paper)
- Journals
- Journal of Computational Chemistry (3 papers)Tetrahedron Letters (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Biochemistry (1 paper)Chemical Research in Toxicology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Eva Darian
10 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Computational Theory and Mathematics 822
- Molecular Biology 3.4k
- Physical and Theoretical Chemistry 326
- Spectroscopy 488
- Organic Chemistry 791
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 | 5554 |
| 2 | 2006 | 90 | |
| 3 | 2010 | 57 | |
| 4 | 2012 | 39 | |
| 5 | 2011 | 32 | |
| 6 | 2005 | 26 | |
| 7 | 2005 | 24 | |
| 8 | 2000 | 19 | |
| 9 | 2001 | 14 | |
| 10 | 2002 | 2 |
About Eva Darian
Eva Darian is a scholar working on Molecular Biology, Biophysics, Organic Chemistry, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 10 papers that have together received 5.9k indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Magnetism in coordination complexes (2 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Protein Structure and Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (822 citations), Molecular Biology (3.4k citations), Physical and Theoretical Chemistry (326 citations), Spectroscopy (488 citations) and Organic Chemistry (791 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, Kenno Vanommeslaeghe, Igor Vorobyov, Pedro E. M. Lopes, J. Shim, Shan Zhong and Subhas C. Kundu. Their work appears in journals such as Journal of Computational Chemistry, Tetrahedron Letters, Proteins Structure Function and Bioinformatics, Biochemistry and Chemical Research in Toxicology.
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.