Murray G. Read
Impact in
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- Crystallography and molecular interactions
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
Papers in
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- Computational Drug Discovery Methods 3
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- Crystallography and molecular interactions 2
- Co-authors
- Jason C. Cole (2 shared papers)Patrick McCabe (2 shared papers)Oliver Korb (1 shared paper)Robin Taylor (1 shared paper)Ilenia Giangreco (1 shared paper)Anthony M. Reilly (1 shared paper)Colin R. Groom (1 shared paper)G.P. Shields (1 shared paper)
- Journals
- Acta Crystallographica Section B Structural Science Crystal Engineering and Materials (2 papers)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Murray G. Read
3 papers receiving 575 citations
Murray G. Read's Hit Papers
Peers
Comparison fields: 5 of 72
- Physical and Theoretical Chemistry 306
- Materials Chemistry 406
- Computational Theory and Mathematics 131
- Spectroscopy 82
- Inorganic Chemistry 54
Countries citing papers authored by Murray G. Read
This map shows the geographic impact of Murray G. 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 Murray G. Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murray G. Read more than expected).
Fields of papers citing papers by Murray G. Read
This network shows the impact of papers produced by Murray G. 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 Murray G. Read. The network helps show where Murray G. Read may publish in the future.
Co-authors
The 8 scholars most cited alongside Murray G. 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 | Report on the sixth blind test of organic crystal structure prediction methods Hit paper breakdown → | 2016 | 506 |
| 2 | 2018 | 60 | |
| 3 | 2016 | 19 |
About Murray G. Read
Murray G. Read is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry, Materials Chemistry, Molecular Biology and Insect Science, having authored 3 papers that have together received 585 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Crystallography and molecular interactions (2 papers), X-ray Diffraction in Crystallography (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Crystallization and Solubility Studies (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (306 citations), Materials Chemistry (406 citations), Computational Theory and Mathematics (131 citations), Spectroscopy (82 citations) and Inorganic Chemistry (54 citations). Murray G. Read has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Jason C. Cole, Patrick McCabe, Oliver Korb, Robin Taylor, Ilenia Giangreco, Anthony M. Reilly, Colin R. Groom and G.P. Shields. Their work appears in journals such as Acta Crystallographica Section B Structural Science Crystal Engineering and Materials and Journal of Chemical Information and Modeling.
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.