Ross D. King

10.5k total citations
153 papers, 5.7k citations indexed

About

Ross D. King is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Ross D. King has authored 153 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 54 papers in Computational Theory and Mathematics and 39 papers in Artificial Intelligence. Recurrent topics in Ross D. King's work include Computational Drug Discovery Methods (43 papers), Machine Learning in Bioinformatics (25 papers) and Microbial Metabolic Engineering and Bioproduction (22 papers). Ross D. King is often cited by papers focused on Computational Drug Discovery Methods (43 papers), Machine Learning in Bioinformatics (25 papers) and Microbial Metabolic Engineering and Bioproduction (22 papers). Ross D. King collaborates with scholars based in United Kingdom, Sweden and United States. Ross D. King's co-authors include Michael J.E. Sternberg, Stephen Muggleton, Ashwin Srinivasan, Larisa Soldatova, Amanda Clare, Mohammed Ouali, Douglas B. Kell, Stephen G. Oliver, Kenneth E. Whelan and Luc De Raedt and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ross D. King

146 papers receiving 5.4k citations

Peers

Countries citing papers authored by Ross D. King

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ross D. King

This figure shows the co-authorship network connecting the top 25 collaborators of Ross D. King. A scholar is included among the top collaborators of Ross D. King based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ross D. King. Ross D. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automating the practice of science: Opportunities, challenges, and implications 2025 ·Proceedings of the National Academy of Sciences ·Sebastian Musslick, (unknown), (unknown), (unknown), Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, (unknown), William R. Holmes	7
2	An experimental target-based platform in yeast for screening Plasmodium vivax deoxyhypusine synthase inhibitors 2024 ·PLoS neglected tropical diseases ·(unknown), (unknown), (unknown), Sayyed Jalil Mahdizadeh, Ievgeniia Tiukova, (unknown), (unknown), (unknown), Renan Vinícius de Araújo, Fábio Trindade Maranhão Costa, Elizabeth Bilsland, Ross D. King, Katlin B. Massirer, Leif A. Eriksson, Mário Henrique Bengtson, Cleslei Fernando Zanelli, Per Sunnerhagen	1
3	An automated positive selection screen in yeast provides support for boron-containing compounds as inhibitors of SARS-CoV-2 main protease 2024 ·Microbiology Spectrum ·(unknown), (unknown), Ievgeniia Tiukova, (unknown), Ross D. King, Morten Grøtli, Leif A. Eriksson, Per Sunnerhagen	1
4	Dynamics of pump jacks with theories and experiments 2023 ·Sheldon Wang, (unknown), (unknown), (unknown), Ross D. King, (unknown)	1
5	Genesis-DB: a database for autonomous laboratory systems 2023 ·Bioinformatics Advances ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Larisa Soldatova, Ross D. King	4
6	Imbalanced regression using regressor-classifier ensembles 2022 ·Machine Learning ·Oghenejokpeme I. Orhobor, Nastasiya F. Grinberg, Larisa Soldatova, Ross D. King	2
7	A simple spatial extension to the extended connectivity interaction features for binding affinity prediction 2022 ·Royal Society Open Science ·Oghenejokpeme I. Orhobor, (unknown), (unknown), Hao Ni, Ross D. King	3
8	Predicting rice phenotypes with meta and multi-target learning 2020 ·Machine Learning ·Oghenejokpeme I. Orhobor, Nickolai Alexandrov, Ross D. King	3
9	The Adam and Eve Robot Scientists for the Automated Discovery of Scientific Knowledge 2017 ·Bulletin of the American Physical Society ·Ross D. King	1
10	Understanding the value of hydrothermal time on flowering in Miscanthus species 2011 ·Aspects of applied biology ·Elaine Jensen, Michael Squance, Astley Hastings, (unknown), Kerrie Farrar, Lin Huang, Ross D. King, J. C. Brown, Iain Donnison	6
11	Inductive logic programming : 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004 : proceedings 2004 ·DIAL (Catholic University of Leuven) ·Rui Camacho, Ross D. King, Ashwin Srinivasan	1
12	A Dichotomic Search Algorithm for Mining and Learning in Domain-Specific Logics 2004 ·Fundamenta Informaticae ·Sébastien Ferré, Ross D. King	2
13	Learning qualitative metabolic models 2004 ·European Conference on Artificial Intelligence ·George M. Coghill, Simon Garrett, Ross D. King	12
14	An empirical study of the use of relevance information in inductive logic programming 2003 ·Journal of Machine Learning Research ·Ashwin Srinivasan, Ross D. King, Michael Bain	10
15	Developing a logical model of yeast metabolism 2001 ·University of Salford Institutional Repository (University of Salford) ·Philip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen Muggleton, Christopher H. Bryant, Stephen G. Oliver	14
16	On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning 2000 ·Trends in biotechnology ·Douglas B. Kell, Ross D. King	62
17	Finding frequent substructures in chemical compounds 1998 ·Lirias (KU Leuven) ·Luc De Raedt, Hannu Toivonen, Ross D. King	119
18	Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines 1994 ·Journal of Computer-Aided Molecular Design ·Jonathan D. Hirst, Ross D. King, Michael J.E. Sternberg	69
19	Application of machine learning to structural molecular biology 1994 ·Philosophical Transactions of the Royal Society B Biological Sciences ·Michael J.E. Sternberg, Ross D. King, Richard A. Lewis, Stephen Muggleton	20
20	PROMIS: experiments in machine learning and protein folding 1991 ·Ross D. King	1

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.

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