David Parry-Smith
Impact in
- Aging top 10%
-
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
Papers in
-
- Machine Learning in Bioinformatics 4
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 3
- Biomedical Text Mining and Ontologies 3
- CRISPR and Genetic Engineering 3
- Gene expression and cancer classification 2
- Co-authors
- Teresa K. Attwood (10 shared papers)Alan J. Bleasby (5 shared papers)Michael E. Beck (3 shared papers)Robert Luben (2 shared papers)Amit Bhaniani (2 shared papers)Angela A. Mulligan (2 shared papers)Kay‐Tee Khaw (2 shared papers)Alex Michie (2 shared papers)
- Journals
- Computer applications in the biosciences (3 papers)Bioinformatics (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)British Journal Of Nutrition (1 paper)Genome biology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
David Parry-Smith
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 120
- Aging 23
- Molecular Biology 635
- Cellular and Molecular Neuroscience 103
- Urology 32
- Business and International Management 12
Countries citing papers authored by David Parry-Smith
This map shows the geographic impact of David Parry-Smith'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 Parry-Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Parry-Smith more than expected).
Fields of papers citing papers by David Parry-Smith
This network shows the impact of papers produced by David Parry-Smith. 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 Parry-Smith. The network helps show where David Parry-Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside David Parry-Smith, 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 | 2014 | 181 | |
| 2 | 1995 | 165 | |
| 3 | 2015 | 143 | |
| 4 | PRINTS--a database of protein motif fingerprints. | 1994 | 103 |
| 5 | 1998 | 68 | |
| 6 | 1998 | 54 | |
| 7 | 1997 | 53 | |
| 8 | 2021 | 48 | |
| 9 | 2017 | 45 | |
| 10 | 2013 | 42 | |
| 11 | 1997 | 34 | |
| 12 | 1992 | 24 | |
| 13 | 1992 | 22 | |
| 14 | 2003 | 20 | |
| 15 | 1991 | 20 | |
| 16 | 2019 | 15 | |
| 17 | 1998 | 14 | |
| 18 | Introducción a la bioinformática | 2002 | 2 |
| 19 | 1995 | 1 |
About David Parry-Smith
David Parry-Smith is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Spectroscopy, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (3 papers), Biomedical Text Mining and Ontologies (3 papers), CRISPR and Genetic Engineering (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Aging (23 citations), Molecular Biology (635 citations), Cellular and Molecular Neuroscience (103 citations), Urology (32 citations) and Business and International Management (12 citations). David Parry-Smith has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Teresa K. Attwood, Alan J. Bleasby, Michael E. Beck, Robert Luben, Amit Bhaniani, Angela A. Mulligan, Kay‐Tee Khaw, Alex Michie, Vivek Iyer and Laura O’Connor. Their work appears in journals such as Computer applications in the biosciences, Bioinformatics, Journal of Pharmacology and Experimental Therapeutics, British Journal Of Nutrition and Genome biology.
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.