Nathan Dedman

3.5k total citations · 2 hit papers
7 papers, 2.3k citations indexed

About

Nathan Dedman is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Nathan Dedman has authored 7 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 1 paper in Organic Chemistry. Recurrent topics in Nathan Dedman's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (2 papers). Nathan Dedman is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (2 papers). Nathan Dedman collaborates with scholars based in United Kingdom and Colombia. Nathan Dedman's co-authors include John P. Overington, Anna Gaulton, Mark Davies, George Papadatos, Michał Nowotka, Francis Atkinson, Louisa J. Bellis, Anne Hersey, Jon Chambers and Prudence Mutowo and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Nathan Dedman

7 papers receiving 2.2k citations

Hit Papers

The ChEMBL database in 2017 2015 2026 2018 2022 2016 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Dedman United Kingdom 7 1.5k 1.4k 426 335 252 7 2.3k
María Paula Magariños Argentina 7 1.4k 0.9× 1.4k 0.9× 398 0.9× 304 0.9× 225 0.9× 9 2.3k
David Méndez Colombia 5 1.4k 0.9× 1.3k 0.9× 402 0.9× 300 0.9× 214 0.8× 10 2.1k
Francis Atkinson United Kingdom 11 1.8k 1.2× 1.7k 1.2× 557 1.3× 373 1.1× 344 1.4× 17 2.8k
Prudence Mutowo United Kingdom 6 1.2k 0.8× 1.5k 1.0× 324 0.8× 278 0.8× 173 0.7× 7 2.2k
Elena Cibrián–Uhalte Germany 7 1.1k 0.7× 1.1k 0.8× 314 0.7× 261 0.8× 172 0.7× 9 1.8k
Ines Smit United Kingdom 5 1.1k 0.7× 1.0k 0.7× 316 0.7× 261 0.8× 169 0.7× 8 1.6k
Michał Nowotka United Kingdom 8 2.2k 1.4× 2.1k 1.4× 587 1.4× 493 1.5× 353 1.4× 11 3.3k
Erin S. D. Bolstad United States 11 942 0.6× 1.3k 0.9× 303 0.7× 309 0.9× 329 1.3× 15 2.3k
G. Richard Bickerton United Kingdom 11 1.0k 0.7× 1.1k 0.7× 411 1.0× 205 0.6× 306 1.2× 12 1.8k
Ryan G. Coleman United States 16 1.6k 1.0× 2.2k 1.5× 476 1.1× 315 0.9× 357 1.4× 22 3.4k

Countries citing papers authored by Nathan Dedman

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Dedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Dedman. 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 Nathan Dedman. The network helps show where Nathan Dedman may publish in the future.

Co-authorship network of co-authors of Nathan Dedman

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

All Works

7 of 7 papers shown
1.
Mutowo, Prudence, A. Patrícia Bento, Nathan Dedman, et al.. (2016). A drug target slim: using gene ontology and gene ontology annotations to navigate protein-ligand target space in ChEMBL. Journal of Biomedical Semantics. 7(1). 59–59. 22 indexed citations
2.
Gaulton, Anna, Anne Hersey, Michał Nowotka, et al.. (2016). The ChEMBL database in 2017. Nucleic Acids Research. 45(D1). D945–D954. 1589 indexed citations breakdown →
3.
Davies, Mark, Michał Nowotka, George Papadatos, et al.. (2015). ChEMBL web services: streamlining access to drug discovery data and utilities. Nucleic Acids Research. 43(W1). W612–W620. 464 indexed citations breakdown →
4.
Papadatos, George, Mark Davies, Nathan Dedman, et al.. (2015). SureChEMBL: a large-scale, chemically annotated patent document database. Nucleic Acids Research. 44(D1). D1220–D1228. 150 indexed citations
5.
Davies, Mark, Nathan Dedman, Anne Hersey, et al.. (2015). ADME SARfari: comparative genomics of drug metabolizing systems. Bioinformatics. 31(10). 1695–1697. 10 indexed citations
6.
Davies, Mark, Michał Nowotka, George Papadatos, et al.. (2014). MyChEMBL: A Virtual Platform for Distributing Cheminformatics Tools and Open Data. SHILAP Revista de lepidopterología. 5(2). 334–337. 10 indexed citations
7.
Chappell, Ben, et al.. (2011). Studies on the palladium-catalysed direct alkenylation of 1,2-azoles. Tetrahedron Letters. 52(25). 3223–3225. 23 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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