David S. Goodsell
- Molecular Biology top 0.05%
- Organic Chemistry top 0.05%
- Computational Theory and Mathematics top 0.01%
- Oncology top 0.2%
- Materials Chemistry top 1%
- Co-authors
- Arthur J. OlsonGarrett M. MorrisRuth HueyRichard K. BelewMichel F. SannerWilliam LindstromWilliam E. HartRichard E. Dickerson
- Topics
- Protein Structure and Dynamics (52 papers)Enzyme Structure and Function (32 papers)RNA and protein synthesis mechanisms (27 papers)
- Partner nations
- United StatesAustriaItaly
In The Last Decade
David S. Goodsell
273 papers receiving 46.2k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Molecular Biology 27.7k
- Organic Chemistry 10.7k
- Computational Theory and Mathematics 10.6k
- Oncology 5.2k
- Materials Chemistry 4.1k
Countries citing papers authored by David S. Goodsell
This map shows the geographic impact of David S. Goodsell'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 David S. Goodsell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Goodsell more than expected).
Fields of papers citing papers by David S. Goodsell
This network shows the impact of papers produced by David S. Goodsell. 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 David S. Goodsell. The network helps show where David S. Goodsell may publish in the future.
Co-authorship network of co-authors of David S. Goodsell
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Goodsell. A scholar is included among the top collaborators of David S. Goodsell 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 David S. Goodsell. David S. Goodsell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physicsbreakdown → | 339 |
| 8 | 141 | |
| 9 | 233 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 118 | |
| 13 | AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibilitybreakdown → | 19046 |
| 14 | 18 | |
| 15 | 133 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 17 | |
| 19 | 25 | |
| 20 | A Look Inside the Living Cell | 17 |
About David S. Goodsell
David S. Goodsell is a scholar working on Virology, Biophysics and Molecular Biology, having authored 290 papers that have together received 47.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (52 papers), Enzyme Structure and Function (32 papers) and RNA and protein synthesis mechanisms (27 papers). The work is most often cited by research in Computational Theory and Mathematics (10.6k citations), Molecular Biology (27.7k citations) and Toxicology (1.4k citations). David S. Goodsell has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Arthur J. Olson, Garrett M. Morris, Ruth Huey, Richard K. Belew, Michel F. Sanner, William Lindstrom, William E. Hart, Richard E. Dickerson, Stefano Forli and Mary L. Kopka. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.