Ross D. King
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Artificial Intelligence top 0.5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 21
- Machine Learning in Bioinformatics 20
- Biomedical Text Mining and Ontologies 17
- Protein Structure and Dynamics 15
- Bioinformatics and Genomic Networks 11
-
- Computational Drug Discovery Methods 40
- Co-authors
- Michael J.E. Sternberg (21 shared papers)Stephen Muggleton (12 shared papers)Larisa Soldatova (29 shared papers)Ashwin Srinivasan (18 shared papers)Amanda Clare (19 shared papers)Mohammed Ouali (2 shared papers)Douglas B. Kell (6 shared papers)Stephen G. Oliver (13 shared papers)
- Journals
- Bioinformatics (12 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of The Royal Society Interface (6 papers)Machine Learning (6 papers)Protein Engineering Design and Selection (5 papers)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Ross D. King
149 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 197
- Computational Theory and Mathematics 1.1k
- Artificial Intelligence 1.4k
- Molecular Biology 2.7k
- Information Systems and Management 189
- Information Systems 589
Countries citing papers authored by Ross D. King
This map shows the geographic impact of Ross D. King'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 Ross D. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross D. King more than expected).
Fields of papers citing papers by Ross D. King
This network shows the impact of papers produced by Ross D. King. 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 Ross D. King. The network helps show where Ross D. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Ross D. King, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 401 | |
| 2 | 2004 | 395 | |
| 3 | 1996 | 368 | |
| 4 | 2005 | 290 | |
| 5 | 2000 | 283 | |
| 6 | 1995 | 208 | |
| 7 | 2002 | 182 | |
| 8 | 1992 | 140 | |
| 9 | 1992 | 138 | |
| 10 | 2001 | 132 | |
| 11 | 1996 | 130 | |
| 12 | 1996 | 128 | |
| 13 | 2006 | 122 | |
| 14 | Finding frequent substructures in chemical compounds | 1998 | 119 |
| 15 | 2010 | 105 | |
| 16 | 2003 | 103 | |
| 17 | 2015 | 99 | |
| 18 | 2019 | 96 | |
| 19 | 2010 | 82 | |
| 20 | 1990 | 80 |
About Ross D. King
Ross D. King is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Spectroscopy and Materials Chemistry, having authored 155 papers that have together received 5.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), Machine Learning in Bioinformatics (20 papers), Biomedical Text Mining and Ontologies (17 papers), Protein Structure and Dynamics (15 papers), Analytical Chemistry and Chromatography (12 papers), Semantic Web and Ontologies (11 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (1.4k citations), Molecular Biology (2.7k citations), Information Systems and Management (189 citations) and Information Systems (589 citations). Ross D. King has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Michael J.E. Sternberg, Stephen Muggleton, Larisa Soldatova, Ashwin Srinivasan, Amanda Clare, Mohammed Ouali, Douglas B. Kell, Stephen G. Oliver, Kenneth E. Whelan and Janet A. Taylor. Their work appears in journals such as Bioinformatics, Proceedings of the National Academy of Sciences, Journal of The Royal Society Interface, Machine Learning and Protein Engineering Design and Selection.
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.