David Richardson
Impact in
- Molecular Biology top 0.01%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Biochemical and Molecular Research
- Structural Biology top 0.1%
Papers in
-
- Protein Structure and Dynamics 60
- RNA and protein synthesis mechanisms 31
- Glycosylation and Glycoproteins Research 14
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- Enzyme Structure and Function 59
- Co-authors
- Jane S. Richardson (94 shared papers)Gary J. Kapral (10 shared papers)Vincent B. Chen (15 shared papers)Jeffrey J. Headd (12 shared papers)W.B. Arendall (15 shared papers)Ian Davis (9 shared papers)D.A. Keedy (11 shared papers)Paul D. Adams (8 shared papers)
- Journals
- Journal of Molecular Biology (10 papers)Protein Science (10 papers)The Economic History Review (10 papers)Proceedings of the National Academy of Sciences (8 papers)Proteins Structure Function and Bioinformatics (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Richardson
177 papers receiving 56.1k citations
David Richardson's Hit Papers
Peers
Comparison fields: 5 of 222
- Molecular Biology 39.8k
- Structural Biology 835
- Cell Biology 4.2k
- Biotechnology 2.2k
- Molecular Medicine 1.2k
Countries citing papers authored by David Richardson
This map shows the geographic impact of David Richardson'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 Richardson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Richardson more than expected).
Fields of papers citing papers by David Richardson
This network shows the impact of papers produced by David Richardson. 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 Richardson. The network helps show where David Richardson may publish in the future.
Co-authors
The 25 scholars most cited alongside David Richardson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PHENIX: a comprehensive Python-based system for macromolecular structure solution Hit paper breakdown → | 2010 | 19287 |
| 2 | MolProbity: all-atom structure validation for macromolecular crystallography Hit paper breakdown → | 2009 | 11611 |
| 3 | Structure validation by Cα geometry: ϕ,ψ and Cβ deviation Hit paper breakdown → | 2003 | 3984 |
| 4 | MolProbity: all-atom contacts and structure validation for proteins and nucleic acids Hit paper breakdown → | 2007 | 3331 |
| 5 | MolProbity: More and better reference data for improved all‐atom structure validation Hit paper breakdown → | 2017 | 2986 |
| 6 | Amino Acid Preferences for Specific Locations at the Ends of α Helices Hit paper breakdown → | 1988 | 1246 |
| 7 | Asparagine and glutamine: using hydrogen atom contacts in the choice of side-chain amide orientation 1 1Edited by J. Thornton Hit paper breakdown → | 1999 | 1207 |
| 8 | The penultimate rotamer library Hit paper breakdown → | 2000 | 905 |
| 9 | Determination and analysis of the 2 Å structure of copper, zinc superoxide dismutase Hit paper breakdown → | 1982 | 866 |
| 10 | Structure and mechanism of copper, zinc superoxide dismutase Hit paper breakdown → | 1983 | 847 |
| 11 | MOLPROBITY: structure validation and all-atom contact analysis for nucleic acids and their complexes Hit paper breakdown → | 2004 | 809 |
| 12 | The Phenix software for automated determination of macromolecular structures Hit paper breakdown → | 2011 | 705 |
| 13 | Natural β-sheet proteins use negative design to avoid edge-to-edge aggregation Hit paper breakdown → | 2002 | 646 |
| 14 | Electrostatic recognition between superoxide and copper, zinc superoxide dismutase Hit paper breakdown → | 1983 | 492 |
| 15 | 1999 | 456 | |
| 16 | 1989 | 387 | |
| 17 | 1975 | 364 | |
| 18 | 1990 | 355 | |
| 19 | Structure Validation by C Geometry: , and C Deviation | 2003 | 299 |
| 20 | Structure of proteins: packing of alpha-helices and pleated sheets. Hit paper breakdown → | 1977 | 286 |
About David Richardson
David Richardson is a scholar working on Molecular Biology, Materials Chemistry, Anthropology, Economics and Econometrics and Inorganic Chemistry, having authored 187 papers that have together received 57.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (60 papers), Enzyme Structure and Function (59 papers), Colonialism, slavery, and trade (54 papers), Historical Economic and Social Studies (31 papers), RNA and protein synthesis mechanisms (31 papers), Global Maritime and Colonial Histories (19 papers), Glycosylation and Glycoproteins Research (14 papers) and Metal-Catalyzed Oxygenation Mechanisms (11 papers). The work is most often cited by research in Molecular Biology (39.8k citations), Structural Biology (835 citations), Cell Biology (4.2k citations), Biotechnology (2.2k citations) and Molecular Medicine (1.2k citations). David Richardson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jane S. Richardson, Gary J. Kapral, Vincent B. Chen, Jeffrey J. Headd, W.B. Arendall, Ian Davis, D.A. Keedy, Paul D. Adams, Nigel W. Moriarty and Simon C. Lovell. Their work appears in journals such as Journal of Molecular Biology, Protein Science, The Economic History Review, Proceedings of the National Academy of Sciences and Proteins Structure Function and 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.