conor parks
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Materials Science
- Crystallization and Solubility Studies
- Enzyme Structure and Function
Papers in
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- Crystallization and Solubility Studies 5
- Enzyme Structure and Function 3
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- Protein Structure and Dynamics 5
- Protein purification and stability 1
- Co-authors
- Rommie E. Amaro (4 shared papers)Zied Gaieb (3 shared papers)Michael K. Ameriks (2 shared papers)Tara Mirzadegan (2 shared papers)S.K. Burley (2 shared papers)Michael Chiu (2 shared papers)Chenghua Shao (2 shared papers)Scott D. Bembenek (2 shared papers)
- Journals
- Journal of Computer-Aided Molecular Design (2 papers)Molecular Pharmaceutics (1 paper)Frontiers in Molecular Biosciences (1 paper)Crystal Growth & Design (1 paper)Molecular Simulation (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
conor parks
11 papers receiving 285 citations
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 152
- Materials Chemistry 145
- Physical and Theoretical Chemistry 25
- Molecular Biology 171
- Pharmaceutical Science 10
Countries citing papers authored by conor parks
This map shows the geographic impact of conor parks'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 conor parks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites conor parks more than expected).
Fields of papers citing papers by conor parks
This network shows the impact of papers produced by conor parks. 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 conor parks. The network helps show where conor parks may publish in the future.
Co-authors
The 25 scholars most cited alongside conor parks, 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 | 2019 | 97 | |
| 2 | 2020 | 85 | |
| 3 | 2017 | 23 | |
| 4 | 2017 | 21 | |
| 5 | 2017 | 20 | |
| 6 | 2020 | 13 | |
| 7 | 1997 | 12 | |
| 8 | 2019 | 9 | |
| 9 | 1970 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2024 | 2 | |
| 12 | Molecular Dynamics Investigation of Solid State Form Prediction, Selection, and Control: Towards Application to Crystallization | 2017 | 0 |
About conor parks
conor parks is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Condensed Matter Physics, having authored 12 papers that have together received 293 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (5 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Drug Solubulity and Delivery Systems (1 paper), Magnetism in coordination complexes (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Computational Theory and Mathematics (152 citations), Materials Chemistry (145 citations), Physical and Theoretical Chemistry (25 citations), Molecular Biology (171 citations) and Pharmaceutical Science (10 citations) conor parks has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Rommie E. Amaro, Zied Gaieb, Michael K. Ameriks, Tara Mirzadegan, S.K. Burley, Michael Chiu, Chenghua Shao, Scott D. Bembenek, W. Patrick Walters and Huanwang Yang. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Molecular Pharmaceutics, Frontiers in Molecular Biosciences, Crystal Growth & Design and Molecular Simulation.
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.