Eric F. Pettersen
- Molecular Biology top 0.02%
- Materials Chemistry top 0.5%
- Genetics top 0.2%
- Infectious Diseases top 0.1%
- Organic Chemistry top 0.2%
- Co-authors
- Thomas E. FerrinElaine C. MengThomas D. GoddardConrad C. HuangGregory S. CouchJohn H. MorrisTristan I. CrollP. Therese Lang
- Topics
- Protein Structure and Dynamics (8 papers)Enzyme Structure and Function (5 papers)Scientific Computing and Data Management (5 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Eric F. Pettersen
15 papers receiving 47.9k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Molecular Biology 31.0k
- Materials Chemistry 4.7k
- Genetics 4.4k
- Infectious Diseases 4.3k
- Organic Chemistry 4.2k
Countries citing papers authored by Eric F. Pettersen
This map shows the geographic impact of Eric F. Pettersen'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 Eric F. Pettersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric F. Pettersen more than expected).
Fields of papers citing papers by Eric F. Pettersen
This network shows the impact of papers produced by Eric F. Pettersen. 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 Eric F. Pettersen. The network helps show where Eric F. Pettersen may publish in the future.
Co-authorship network of co-authors of Eric F. Pettersen
This figure shows the co-authorship network connecting the top 25 collaborators of Eric F. Pettersen. A scholar is included among the top collaborators of Eric F. Pettersen 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 Eric F. Pettersen. Eric F. Pettersen 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 | UCSF ChimeraX: Meeting modern challenges in visualization and analysisbreakdown → | 3207 |
| 5 | 126 | |
| 6 | UCSF Chimera, MODELLER, and IMP: An integrated modeling systembreakdown → | 500 |
| 7 | ModBase, a database of annotated comparative protein structure models, and associated resourcesbreakdown → | 672 |
| 8 | DOCK 6: Combining techniques to model RNA–small molecule complexesbreakdown → | 603 |
| 9 | Tools for integrated sequence-structure analysis with UCSF Chimerabreakdown → | 531 |
| 10 | 325 | |
| 11 | UCSF Chimera—A visualization system for exploratory research and analysisbreakdown → | 35338 |
| 12 | 8 | |
| 13 | 130 | |
| 14 | 15 | |
| 15 | 15 |
About Eric F. Pettersen
Eric F. Pettersen is a scholar working on Structural Biology, Information Systems and Management and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 48.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Structural Biology (1.5k citations), Molecular Biology (31.0k citations) and Infectious Diseases (4.3k citations). Eric F. Pettersen has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Thomas E. Ferrin, Elaine C. Meng, Thomas D. Goddard, Conrad C. Huang, Gregory S. Couch, John H. Morris, Tristan I. Croll, P. Therese Lang, Robert C. Rizzo and Irwin D. Kuntz. Their work appears in journals such as Nucleic Acids Research, Journal of Computational Chemistry and BMC 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.