Randy J. Read
- Molecular Biology top 0.01%
- Protein Structure and Dynamics 71
- RNA and protein synthesis mechanisms 17
- Structural Biology top 0.1%
- Advanced Electron Microscopy Techniques and Applications 13
- Endocrinology top 0.05%
- Biotechnology top 0.01%
- Cell Biology top 0.02%
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- Enzyme Structure and Function 93
- Machine Learning in Materials Science 13
- X-ray Diffraction in Crystallography 12
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- Computational Drug Discovery Methods 14
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- Toxin Mechanisms and Immunotoxins 10
- Co-authors
- Paul D. AdamsRalf W. Grosse‐KunstleveAirlie J. McCoyLaurent C. StoroniMartyn WinnThomas C. TerwilligerNeesh PannuNigel W. Moriarty
- Journals
- Acta Crystallographica Section D Structural Biology (24 papers)Journal of Molecular Biology (12 papers)Proteins Structure Function and Bioinformatics (10 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Randy J. Read
193 papers receiving 86.3k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 15 | |
| 2 | 2023 | 34 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 28 | |
| 7 | 2020 | 197 | |
| 8 | 2019 | 38 | |
| 9 | Real-space refinement in PHENIX for cryo-EM and crystallographybreakdown → | 2018 | 2004 |
| 10 | 2018 | 33 | |
| 11 | 2014 | 201 | |
| 12 | 2012 | 112 | |
| 13 | 2009 | 73 | |
| 14 | 2007 | 33 | |
| 15 | 2007 | 6 | |
| 16 | 2007 | 242 | |
| 17 | 1997 | 77 | |
| 18 | 1992 | 145 | |
| 19 | 1992 | 10 | |
| 20 | 1991 | 8 |
About Randy J. Read
Randy J. Read is a scholar working on Structural Biology, Materials Chemistry, Endocrinology, Molecular Biology and Spectroscopy, 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.