Phil Evans
Impact in
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Biotechnology top 0.5%
- Enzyme Production and Characterization
Papers in
-
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 3
- Protein Structure and Dynamics 2
- Epigenetics and DNA Methylation 1
- Cancer-related gene regulation 1
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- Cellular transport and secretion 2
- Co-authors
- Ronan M. Keegan (1 shared paper)Harold R. Powell (1 shared paper)Andrew G. W. Leslie (1 shared paper)Airlie J. McCoy (1 shared paper)Kevin Cowtan (1 shared paper)Keith S. Wilson (1 shared paper)Martyn Winn (1 shared paper)Randy J. Read (1 shared paper)
- Journals
- Molecular Cell (1 paper)Biochemical Society Transactions (1 paper)Trends in Biochemical Sciences (1 paper)Current Opinion in Structural Biology (1 paper)PubMed (1 paper)
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Phil Evans
8 papers receiving 10.5k citations
Phil Evans's Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 7.5k
- Biotechnology 701
- Structural Biology 107
- Molecular Medicine 306
- Biochemistry 416
Countries citing papers authored by Phil Evans
This map shows the geographic impact of Phil Evans'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 Phil Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Evans more than expected).
Fields of papers citing papers by Phil Evans
This network shows the impact of papers produced by Phil Evans. 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 Phil Evans. The network helps show where Phil Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Evans, 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 | Overview of theCCP4 suite and current developments Hit paper breakdown → | 2011 | 10147 |
| 2 | 1995 | 185 | |
| 3 | 2008 | 144 | |
| 4 | 2002 | 60 | |
| 5 | 2011 | 11 | |
| 6 | Crystal structure of the U1A spliceosomal protein complexed with its cognate RNA hairpin. | 1995 | 7 |
| 7 | 2014 | 6 | |
| 8 | 1993 | 1 |
About Phil Evans
Phil Evans is a scholar working on Molecular Biology, Cell Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 8 papers that have together received 10.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Cellular transport and secretion (2 papers), Protein Structure and Dynamics (2 papers), Medical Imaging Techniques and Applications (1 paper), Epigenetics and DNA Methylation (1 paper), Computational Drug Discovery Methods (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (7.5k citations), Biotechnology (701 citations), Structural Biology (107 citations), Molecular Medicine (306 citations) and Biochemistry (416 citations). Phil Evans has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Ronan M. Keegan, Harold R. Powell, Andrew G. W. Leslie, Airlie J. McCoy, Kevin Cowtan, Keith S. Wilson, Martyn Winn, Randy J. Read, Alexei A. Vagin and Elizabeth Potterton. Their work appears in journals such as Molecular Cell, Biochemical Society Transactions, Trends in Biochemical Sciences, Current Opinion in Structural Biology and PubMed.
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.