David T. Jones
Impact in
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Sensory Systems top 0.5%
Papers in
-
- Protein Structure and Dynamics 97
- Machine Learning in Bioinformatics 68
- RNA and protein synthesis mechanisms 56
- Genomics and Phylogenetic Studies 40
- Bioinformatics and Genomic Networks 22
-
- Enzyme Structure and Function 50
- Co-authors
- Liam J. McGuffinKevin BrysonDaniel BuchanDavid WoodsRandall R. ReedJanet M. ThorntonJonathan J. WardDomenico Cozzetto
- Journals
- Proteins Structure Function and Bioinformatics (23 papers)Bioinformatics (19 papers)Applied and Environmental Microbiology (11 papers)Nucleic Acids Research (9 papers)BMC Bioinformatics (9 papers)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
David T. Jones
264 papers receiving 36.6k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Molecular Biology 27.1k
- Sensory Systems 668
- Cell Biology 2.2k
- Genetics 3.6k
- Materials Chemistry 5.7k
Countries citing papers authored by David T. Jones
This map shows the geographic impact of David T. Jones'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 T. Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Jones more than expected).
Fields of papers citing papers by David T. Jones
This network shows the impact of papers produced by David T. Jones. 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 T. Jones. The network helps show where David T. Jones may publish in the future.
Co-authors
The 25 scholars most cited alongside David T. Jones, 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 | 2024 | 33 | |
| 2 | DMPfold: fast de novo protein model generation from covarying sequences using predicted distances and iterative model building | 2018 | 1 |
| 3 | 2017 | 57 | |
| 4 | 2014 | 238 | |
| 5 | DISOPRED3: precise disordered region predictions with annotated protein-binding activity Hit paper breakdown → | 2014 | 643 |
| 6 | Classification of Intrinsically Disordered Regions and Proteins | 2014 | 1 |
| 7 | 2012 | 141 | |
| 8 | PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments Hit paper breakdown → | 2011 | 550 |
| 9 | 2011 | 36 | |
| 10 | 2011 | 50 | |
| 11 | 2009 | 87 | |
| 12 | 2004 | 2 | |
| 13 | 2003 | 284 | |
| 14 | 1998 | 5 | |
| 15 | 1998 | 149 | |
| 16 | 1996 | 113 | |
| 17 | 1995 | 73 | |
| 18 | 1994 | 295 | |
| 19 | 1993 | 46 | |
| 20 | 1987 | 41 |
About David T. Jones
David T. Jones is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Evolution, Behavior and Systematics, Sensory Systems and Genetics, having authored 265 papers that have together received 37.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (97 papers), Machine Learning in Bioinformatics (68 papers), RNA and protein synthesis mechanisms (56 papers), Enzyme Structure and Function (50 papers), Genomics and Phylogenetic Studies (40 papers), Bioinformatics and Genomic Networks (22 papers), Plant and animal studies (14 papers) and Insect and Arachnid Ecology and Behavior (13 papers). The work is most often cited by research in Molecular Biology (27.1k citations), Sensory Systems (668 citations), Cell Biology (2.2k citations), Genetics (3.6k citations) and Materials Chemistry (5.7k citations). David T. Jones has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Liam J. McGuffin, Kevin Bryson, Daniel Buchan, David Woods, Randall R. Reed, Janet M. Thornton, Jonathan J. Ward, Domenico Cozzetto, Bernard F. Buxton and Shaun M. Kandathil. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Applied and Environmental Microbiology, Nucleic Acids Research and BMC Bioinformatics.
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.