David Wild
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Protein Structure and Dynamics
Papers in
-
- Bioinformatics and Genomic Networks 14
- Biomedical Text Mining and Ontologies 12
- Genetics, Bioinformatics, and Biomedical Research 9
- Metabolomics and Mass Spectrometry Studies 3
-
- Computational Drug Discovery Methods 29
- Co-authors
- Ying Ding (19 shared papers)Bin Chen (7 shared papers)R.H. Locker (9 shared papers)Rajarshi Guha (9 shared papers)Peter Willett (6 shared papers)Xiao Dong (7 shared papers)Qian Zhu (5 shared papers)Dazhi Jiao (3 shared papers)
- Journals
- Journal of Cheminformatics (11 papers)Journal of Chemical Information and Modeling (8 papers)Meat Science (7 papers)BMC Bioinformatics (6 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
David Wild
96 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 161
- Computational Theory and Mathematics 921
- Molecular Biology 1.1k
- Information Systems and Management 119
- Animal Science and Zoology 153
- Artificial Intelligence 392
Countries citing papers authored by David Wild
This map shows the geographic impact of David 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 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 Wild more than expected).
Fields of papers citing papers by David Wild
This network shows the impact of papers produced by David 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 Wild. The network helps show where David Wild may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 185 | |
| 2 | 2012 | 127 | |
| 3 | 2009 | 118 | |
| 4 | 2012 | 107 | |
| 5 | 2013 | 92 | |
| 6 | 2009 | 88 | |
| 7 | 1986 | 86 | |
| 8 | 2004 | 76 | |
| 9 | 2011 | 74 | |
| 10 | 1996 | 64 | |
| 11 | 1996 | 63 | |
| 12 | 1999 | 61 | |
| 13 | 2015 | 52 | |
| 14 | 2011 | 51 | |
| 15 | 2007 | 45 | |
| 16 | 1984 | 41 | |
| 17 | 1982 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2009 | 34 | |
| 20 | 1992 | 33 |
About David Wild
David Wild is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Information Systems and Management and Information Systems, having authored 103 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Bioinformatics and Genomic Networks (14 papers), Biomedical Text Mining and Ontologies (12 papers), Genetics, Bioinformatics, and Biomedical Research (9 papers), Scientific Computing and Data Management (8 papers), Meat and Animal Product Quality (6 papers), Semantic Web and Ontologies (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (921 citations), Molecular Biology (1.1k citations), Information Systems and Management (119 citations), Animal Science and Zoology (153 citations) and Artificial Intelligence (392 citations). David Wild has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Ying Ding, Bin Chen, R.H. Locker, Rajarshi Guha, Peter Willett, Xiao Dong, Qian Zhu, Dazhi Jiao, Huijun Wang and Abhik Seal. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Meat Science, BMC Bioinformatics and PLoS ONE.
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.