Elaine C. Meng
- Molecular Biology top 0.02%
- Materials Chemistry top 0.5%
- Genetics top 0.2%
- Organic Chemistry top 0.2%
- Infectious Diseases top 0.1%
- Co-authors
- Eric F. PettersenThomas E. FerrinThomas D. GoddardConrad C. HuangGregory S. CouchJohn H. MorrisTristan I. CrollIrwin D. Kuntz
- Topics
- Protein Structure and Dynamics (12 papers)Computational Drug Discovery Methods (8 papers)Receptor Mechanisms and Signaling (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Elaine C. Meng
35 papers receiving 49.6k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Molecular Biology 32.3k
- Materials Chemistry 4.9k
- Genetics 4.4k
- Organic Chemistry 4.4k
- Infectious Diseases 4.3k
Countries citing papers authored by Elaine C. Meng
This map shows the geographic impact of Elaine C. Meng'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 Elaine C. Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine C. Meng more than expected).
Fields of papers citing papers by Elaine C. Meng
This network shows the impact of papers produced by Elaine C. Meng. 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 Elaine C. Meng. The network helps show where Elaine C. Meng may publish in the future.
Co-authorship network of co-authors of Elaine C. Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Elaine C. Meng. A scholar is included among the top collaborators of Elaine C. Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elaine C. Meng. Elaine C. Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1450 | |
| 3 | 5287 | |
| 4 | 97 | |
| 5 | 126 | |
| 6 | 189 | |
| 7 | 17 | |
| 8 | UCSF Chimera, MODELLER, and IMP: An integrated modeling systembreakdown → | 500 |
| 9 | 7 | |
| 10 | DOCK 6: Combining techniques to model RNA–small molecule complexesbreakdown → | 603 |
| 11 | 51 | |
| 12 | Tools for integrated sequence-structure analysis with UCSF Chimerabreakdown → | 531 |
| 13 | 42 | |
| 14 | 46 | |
| 15 | 128 | |
| 16 | 66 | |
| 17 | 157 | |
| 18 | 117 | |
| 19 | 34 | |
| 20 | 117 |
About Elaine C. Meng
Elaine C. Meng is a scholar working on Structural Biology, Information Systems and Management and Computational Theory and Mathematics, having authored 35 papers that have together received 50.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (8 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Structural Biology (1.5k citations), Molecular Biology (32.3k citations) and Computational Theory and Mathematics (4.1k citations). Elaine C. Meng has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Eric F. Pettersen, Thomas E. Ferrin, Thomas D. Goddard, Conrad C. Huang, Gregory S. Couch, John H. Morris, Tristan I. Croll, Irwin D. Kuntz, Brian K. Shoichet and Henry R. Bourne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.