Randy J. Read
Impact in
- Molecular Biology top 0.01%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Structural Biology top 0.1%
Papers in
-
- Protein Structure and Dynamics 71
- RNA and protein synthesis mechanisms 17
-
- Enzyme Structure and Function 93
- Machine Learning in Materials Science 13
- X-ray Diffraction in Crystallography 12
- Co-authors
- Paul D. Adams (36 shared papers)Ralf W. Grosse‐Kunstleve (16 shared papers)Airlie J. McCoy (50 shared papers)Laurent C. Storoni (7 shared papers)Martyn Winn (2 shared papers)Thomas C. Terwilliger (37 shared papers)Neesh Pannu (10 shared papers)Nigel W. Moriarty (12 shared papers)
- Journals
- Acta Crystallographica Section D Structural Biology (24 papers)Journal of Molecular Biology (12 papers)Proteins Structure Function and Bioinformatics (10 papers)Proceedings of the National Academy of Sciences (8 papers)Structure (8 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Randy J. Read
193 papers receiving 86.3k citations
Randy J. Read's Hit Papers
Peers
Comparison fields: 5 of 187
- Molecular Biology 62.2k
- Structural Biology 1.1k
- Endocrinology 2.7k
- Biotechnology 4.3k
- Cell Biology 7.9k
Countries citing papers authored by Randy J. Read
This map shows the geographic impact of Randy J. Read'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 Randy J. Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy J. Read more than expected).
Fields of papers citing papers by Randy J. Read
This network shows the impact of papers produced by Randy J. Read. 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 Randy J. Read. The network helps show where Randy J. Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Randy J. Read, 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 197 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 | 18966 |
| 2 | Phasercrystallographic software Hit paper breakdown → | 2007 | 16394 |
| 3 | Crystallography & NMR System: A New Software Suite for Macromolecular Structure Determination Hit paper breakdown → | 1998 | 14950 |
| 4 | Overview of theCCP4 suite and current developments Hit paper breakdown → | 2011 | 10064 |
| 5 | PHENIX: building new software for automated crystallographic structure determination Hit paper breakdown → | 2002 | 3802 |
| 6 | Real-space refinement in PHENIX for cryo-EM and crystallography Hit paper breakdown → | 2018 | 2004 |
| 7 | Improved Fourier coefficients for maps using phases from partial structures with errors Hit paper breakdown → | 1986 | 1756 |
| 8 | Likelihood-enhanced fast translation functions Hit paper breakdown → | 2005 | 1504 |
| 9 | Iterative model building, structure refinement and density modification with thePHENIX AutoBuildwizard Hit paper breakdown → | 2007 | 1222 |
| 10 | Likelihood-enhanced fast rotation functions Hit paper breakdown → | 2004 | 1066 |
| 11 | Structure of a serpin–protease complex shows inhibition by deformation Hit paper breakdown → | 2000 | 893 |
| 12 | Decision-making in structure solution using Bayesian estimates of map quality: thePHENIX AutoSolwizard Hit paper breakdown → | 2009 | 737 |
| 13 | Pushing the boundaries of molecular replacement with maximum likelihood Hit paper breakdown → | 2001 | 726 |
| 14 | Shiga-like toxins are neutralized by tailored multivalent carbohydrate ligands Hit paper breakdown → | 2000 | 713 |
| 15 | The Phenix software for automated determination of macromolecular structures Hit paper breakdown → | 2011 | 691 |
| 16 | 2008 | 490 | |
| 17 | 1998 | 351 | |
| 18 | 2011 | 345 | |
| 19 | 1996 | 307 | |
| 20 | 1997 | 303 |
About Randy J. Read
Randy J. Read is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computational Theory and Mathematics and Structural Biology, having authored 197 papers that have together received 86.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (93 papers), Protein Structure and Dynamics (71 papers), RNA and protein synthesis mechanisms (17 papers), Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (13 papers), Advanced Electron Microscopy Techniques and Applications (13 papers), X-ray Diffraction in Crystallography (12 papers) and Toxin Mechanisms and Immunotoxins (10 papers). The work is most often cited by research in Molecular Biology (62.2k citations), Structural Biology (1.1k citations), Endocrinology (2.7k citations), Biotechnology (4.3k citations) and Cell Biology (7.9k citations). Randy J. Read has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Paul D. Adams, Ralf W. Grosse‐Kunstleve, Airlie J. McCoy, Laurent C. Storoni, Martyn Winn, Thomas C. Terwilliger, Neesh Pannu, Nigel W. Moriarty, Li‐Wei Hung and Pavel V. Afonine. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Proceedings of the National Academy of Sciences and Structure.
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.