David L. Wild
Impact in
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Plant Gene Expression Analysis
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
-
- Protein Structure and Dynamics 20
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 15
- Gene Regulatory Network Analysis 11
- Machine Learning in Bioinformatics 7
- Co-authors
- Zoubin GhahramaniChristopher A. PenfoldFrancesco FalcianiRichard S. SavageClaudia Rangel‐EscareñoKatherine DenbyJim E. GriffinPaul Kirk
- Journals
- Bioinformatics (7 papers)Biophysical Journal (3 papers)Proteins Structure Function and Bioinformatics (2 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David L. Wild
52 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.3k
- Plant Science 276
- Artificial Intelligence 213
- Statistics and Probability 53
- Biophysics 34
Countries citing papers authored by David L. Wild
This map shows the geographic impact of David L. Wild'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 L. Wild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Wild more than expected).
Fields of papers citing papers by David L. Wild
This network shows the impact of papers produced by David L. Wild. 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 L. Wild. The network helps show where David L. Wild may publish in the future.
Co-authors
The 25 scholars most cited alongside David L. Wild, 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 | 2020 | 4 | |
| 2 | 2018 | 2 | |
| 3 | 2017 | 5 | |
| 4 | 2013 | 12 | |
| 5 | 2012 | 2 | |
| 6 | 2011 | 44 | |
| 7 | 2011 | 119 | |
| 8 | 2010 | 51 | |
| 9 | 2009 | 30 | |
| 10 | 2009 | 11 | |
| 11 | 2009 | 36 | |
| 12 | 2006 | 22 | |
| 13 | 2005 | 3 | |
| 14 | 2004 | 140 | |
| 15 | 2004 | 0 | |
| 16 | 2004 | 192 | |
| 17 | 2001 | 10 | |
| 18 | A Bayesian network approach to protein fold recognition | 1998 | 1 |
| 19 | 1996 | 13 | |
| 20 | 1978 | 119 |
About David L. Wild
David L. Wild is a scholar working on Structural Biology, Molecular Biology, Biophysics, Biotechnology and Spectroscopy, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (15 papers), Enzyme Structure and Function (13 papers), Gene Regulatory Network Analysis (11 papers), Machine Learning in Bioinformatics (7 papers), Bayesian Methods and Mixture Models (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Plant Science (276 citations), Artificial Intelligence (213 citations), Statistics and Probability (53 citations) and Biophysics (34 citations). David L. Wild has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Zoubin Ghahramani, Christopher A. Penfold, Francesco Falciani, Zoubin Ghahramani, Richard S. Savage, Claudia Rangel‐Escareño, Katherine Denby, Jim E. Griffin, Paul Kirk and Matthew J. Beal. Their work appears in journals such as Bioinformatics, Biophysical Journal, Proteins Structure Function and Bioinformatics, Statistical Applications in Genetics and Molecular Biology 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.