John G. Cumming

51 total papers · 1.2k total citations
30 papers, 876 citations indexed

About

John G. Cumming is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, John G. Cumming has authored 30 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 13 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in John G. Cumming's work include Synthetic Organic Chemistry Methods (9 papers), Traditional and Medicinal Uses of Annonaceae (7 papers) and Computational Drug Discovery Methods (7 papers). John G. Cumming is often cited by papers focused on Synthetic Organic Chemistry Methods (9 papers), Traditional and Medicinal Uses of Annonaceae (7 papers) and Computational Drug Discovery Methods (7 papers). John G. Cumming collaborates with scholars based in United Kingdom, Sweden and Switzerland. John G. Cumming's co-authors include Ian Paterson, Richard A. Ward, A. M. Davis, Hongming Chen, Markus Haeberlein, Julian D. Smith, Sorel Mureşan, Kap‐Sun Yeung, Catherine McCarthy and Jonathan Clayden and has published in prestigious journals such as Journal of the American Chemical Society, Nature Reviews Drug Discovery and Journal of Medicinal Chemistry.

In The Last Decade

John G. Cumming

29 papers receiving 841 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John G. Cumming	499	294	220	114	87	30	876
Alexander G. Dossetter	626 1.3×	217 0.7×	167 0.8×	87 0.8×	87 1.0×	24	874
Manuel Pérez	390 0.8×	322 1.1×	88 0.4×	44 0.4×	64 0.7×	60	962
C. John Blankley	511 1.0×	419 1.4×	123 0.6×	41 0.4×	90 1.0×	33	1.0k
Karl R. Gibson	460 0.9×	251 0.9×	71 0.3×	164 1.4×	96 1.1×	27	790
C. Lerner	440 0.9×	524 1.8×	203 0.9×	38 0.3×	209 2.4×	22	1.0k
Marc R. Campitelli	309 0.6×	337 1.1×	105 0.5×	104 0.9×	204 2.3×	23	708
John C. Widen	313 0.6×	434 1.5×	72 0.3×	52 0.5×	61 0.7×	16	851
David A. Nugiel	799 1.6×	318 1.1×	74 0.3×	84 0.7×	87 1.0×	32	1.1k
Marco Tatò	207 0.4×	488 1.7×	89 0.4×	58 0.5×	59 0.7×	30	845
Daryl R. Sauer	641 1.3×	381 1.3×	113 0.5×	42 0.4×	53 0.6×	33	964

Countries citing papers authored by John G. Cumming

Since Specialization

Citations

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

Fields of papers citing papers by John G. Cumming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Cumming. 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 John G. Cumming. The network helps show where John G. Cumming may publish in the future.

Co-authorship network of co-authors of John G. Cumming

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

All Works

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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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