Ian A. Watson

1.7k total citations
40 papers, 1.2k citations indexed

About

Ian A. Watson is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Ian A. Watson has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 8 papers in Spectroscopy. Recurrent topics in Ian A. Watson's work include Computational Drug Discovery Methods (20 papers), Analytical Chemistry and Chromatography (7 papers) and Microbial Natural Products and Biosynthesis (4 papers). Ian A. Watson is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Analytical Chemistry and Chromatography (7 papers) and Microbial Natural Products and Biosynthesis (4 papers). Ian A. Watson collaborates with scholars based in United States, United Kingdom and Netherlands. Ian A. Watson's co-authors include Richard E. Higgs, Ji‐Bo Wang, Howard B. Broughton, Christos A. Nicolaou, Michal Vieth, D. H. Robertson, Philip A. Hipskind, Gregory L. Durst, Miles G. Siegel and Kenneth A. Savin and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chromatography A and International Journal of Cancer.

In The Last Decade

Ian A. Watson

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian A. Watson United States 19 560 480 201 170 166 40 1.2k
Ajay United States 11 799 1.4× 983 2.0× 264 1.3× 164 1.0× 83 0.5× 13 1.7k
Sergio Wong United States 20 335 0.6× 889 1.9× 201 1.0× 187 1.1× 72 0.4× 33 1.3k
Gavin Harper United Kingdom 11 725 1.3× 745 1.6× 216 1.1× 126 0.7× 76 0.5× 16 1.1k
Christopher R. Corbeil Canada 19 726 1.3× 1.1k 2.2× 326 1.6× 199 1.2× 228 1.4× 38 1.6k
Alexander Alanine Switzerland 16 456 0.8× 753 1.6× 363 1.8× 117 0.7× 73 0.4× 26 1.3k
Osman Güner United States 17 785 1.4× 875 1.8× 429 2.1× 136 0.8× 101 0.6× 36 1.6k
Massimo Baroni Italy 25 869 1.6× 1.1k 2.3× 374 1.9× 146 0.9× 108 0.7× 63 2.1k
Stefan Senger United Kingdom 15 969 1.7× 1.1k 2.3× 373 1.9× 307 1.8× 94 0.6× 28 1.9k
Jean‐François Truchon Canada 12 756 1.4× 862 1.8× 323 1.6× 212 1.2× 53 0.3× 19 1.4k
Andrew C. Good United States 22 971 1.7× 985 2.1× 426 2.1× 223 1.3× 102 0.6× 45 1.7k

Countries citing papers authored by Ian A. Watson

Since Specialization
Citations

This map shows the geographic impact of Ian A. Watson'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 Ian A. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian A. Watson more than expected).

Fields of papers citing papers by Ian A. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian A. Watson. 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 Ian A. Watson. The network helps show where Ian A. Watson may publish in the future.

Co-authorship network of co-authors of Ian A. Watson

This figure shows the co-authorship network connecting the top 25 collaborators of Ian A. Watson. A scholar is included among the top collaborators of Ian A. Watson 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 Ian A. Watson. Ian A. Watson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Watson, Ian A., et al.. (2025). LIDDIA: Language-based Intelligent Drug Discovery Agent. PubMed. 2025. 12015–12039.
2.
Watson, Ian A., Ji‐Bo Wang, & Christos A. Nicolaou. (2019). A retrosynthetic analysis algorithm implementation. Journal of Cheminformatics. 11(1). 74 indexed citations
3.
Vidler, Lewis R., et al.. (2018). Investigating the Behavior of Published PAINS Alerts Using a Pharmaceutical Company Data Set. ACS Medicinal Chemistry Letters. 9(8). 792–796. 24 indexed citations
4.
Conrado, Daniela J., Timothy Nicholas, Kuenhi Tsai, et al.. (2017). Dopamine Transporter Neuroimaging as an Enrichment Biomarker in Early Parkinson's Disease Clinical Trials: A Disease Progression Modeling Analysis. Clinical and Translational Science. 11(1). 63–70. 35 indexed citations
5.
Nicolaou, Christos A., et al.. (2016). The Proximal Lilly Collection: Mapping, Exploring and Exploiting Feasible Chemical Space. Journal of Chemical Information and Modeling. 56(7). 1253–1266. 66 indexed citations
6.
Desai, Prashant, Geri A. Sawada, Ian A. Watson, & Thomas J. Raub. (2013). Integration of in Silico and in Vitro Tools for Scaffold Optimization during Drug Discovery: Predicting P-Glycoprotein Efflux. Molecular Pharmaceutics. 10(4). 1249–1261. 70 indexed citations
8.
Erickson, Jon A., Mary M. Mader, Ian A. Watson, et al.. (2009). Structure-guided expansion of kinase fragment libraries driven by support vector machine models. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(3). 642–652. 20 indexed citations
9.
Webster, Yue, et al.. (2009). GPU Accelerated Support Vector Machines for Mining High-Throughput Screening Data. Journal of Chemical Information and Modeling. 49(12). 2718–2725. 35 indexed citations
10.
Wale, Nikil, Ian A. Watson, & George Karypis. (2008). Indirect Similarity Based Methods for Effective Scaffold-Hopping in Chemical Compounds. Journal of Chemical Information and Modeling. 48(4). 730–741. 18 indexed citations
11.
Stiefl, Nikolaus, Ian A. Watson, Knut Baumann, & Andrea Zaliani. (2005). ErG:  2D Pharmacophore Descriptions for Scaffold Hopping. Journal of Chemical Information and Modeling. 46(1). 208–220. 110 indexed citations
12.
Broughton, Howard B. & Ian A. Watson. (2004). Selection of heterocycles for drug design. Journal of Molecular Graphics and Modelling. 23(1). 51–58. 96 indexed citations
13.
Vieth, Michal, Miles G. Siegel, Richard E. Higgs, et al.. (2003). Characteristic Physical Properties and Structural Fragments of Marketed Oral Drugs. Journal of Medicinal Chemistry. 47(1). 224–232. 268 indexed citations
14.
Sharp, James H., Ian A. Watson, Brian F. Scott, et al.. (1999). Experimental systems implementation of a hybrid optical–digital correlator. Applied Optics. 38(29). 6116–6116. 3 indexed citations
15.
Watson, Ian A., et al.. (1998). Optical Imaging and Analysis of Speckle Patterns from Escherichia coli in Disinfectant solution. Conference on Lasers and Electro-Optics Europe. 13. CTuI106–CTuI106. 1 indexed citations
16.
Watson, Ian A., et al.. (1996). Characteristics of CO2 and Nd:YAG laser welded high carbon steels. D141–D149.
17.
Wilson, Charles B., D Snook, B Dhokia, et al.. (1991). Quantitative measurement of monoclonal antibody distribution and blood flow using positron emission tomography and 124iodine in patients with breast cancer. International Journal of Cancer. 47(3). 344–347. 63 indexed citations
18.
Horlock, Peter, Mathew L. Thakur, & Ian A. Watson. (1975). Cyclotron produced lead-203. Postgraduate Medical Journal. 51(601). 751–754. 14 indexed citations
19.
Clark, J. C., Mathew L. Thakur, & Ian A. Watson. (1972). The production of potassium-43 for medical use. The International Journal of Applied Radiation and Isotopes. 23(7). 329–330. 13 indexed citations
20.
Friedmann, B, S. M. Lewis, H. I. Glass, L. Szur, & Ian A. Watson. (1968). Labelling of red blood cells with81Rb for spleen scans. British Journal of Radiology. 41(491). 815–818. 7 indexed citations

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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