Geoffrey G. Cox

34 total papers · 483 total citations
17 papers, 380 citations indexed

About

Geoffrey G. Cox is a scholar working on Organic Chemistry, Inorganic Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Geoffrey G. Cox has authored 17 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organic Chemistry, 5 papers in Inorganic Chemistry and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Geoffrey G. Cox's work include Cyclopropane Reaction Mechanisms (7 papers), Catalytic C–H Functionalization Methods (7 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). Geoffrey G. Cox is often cited by papers focused on Cyclopropane Reaction Mechanisms (7 papers), Catalytic C–H Functionalization Methods (7 papers) and Asymmetric Hydrogenation and Catalysis (5 papers). Geoffrey G. Cox collaborates with scholars based in United Kingdom, United States and Australia. Geoffrey G. Cox's co-authors include Christopher J. Moody, David J. Miller, Enrique Aller, Laurence M. Harwood, Janusz J. Kulagowski, David S. Brown, Albert Padwa, Barbara R. Conway, Philip J. Rybczynski and Keith T. Demarest and has published in prestigious journals such as The Journal of Organic Chemistry, Tetrahedron and Tetrahedron Letters.

In The Last Decade

Geoffrey G. Cox

17 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Geoffrey G. Cox	289	75	52	39	27	17	380
Rebecca Farmer	132 0.5×	120 1.6×	28 0.5×	24 0.6×	11 0.4×	16	441
Yoshiya Amemiya	237 0.8×	120 1.6×	36 0.7×	29 0.7×	16 0.6×	14	348
James M. Fortunato	180 0.6×	88 1.2×	68 1.3×	36 0.9×	22 0.8×	18	376
Kazuhiro Ikegai	292 1.0×	159 2.1×	85 1.6×	33 0.8×	12 0.4×	16	383
Wei Wu	235 0.8×	71 0.9×	58 1.1×	48 1.2×	11 0.4×	29	403
Ryota Shiraki	296 1.0×	104 1.4×	78 1.5×	17 0.4×	9 0.3×	18	415
Amjad Ali	253 0.9×	94 1.3×	46 0.9×	10 0.3×	9 0.3×	15	374
Christopher Kendall	302 1.0×	87 1.2×	30 0.6×	97 2.5×	12 0.4×	16	419
Tian Lan	198 0.7×	90 1.2×	65 1.3×	20 0.5×	32 1.2×	20	358
Xinpei Cai	320 1.1×	90 1.2×	15 0.3×	40 1.0×	21 0.8×	11	373

Countries citing papers authored by Geoffrey G. Cox

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey G. Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey G. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey G. Cox. A scholar is included among the top collaborators of Geoffrey G. Cox 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 Geoffrey G. Cox. Geoffrey G. Cox 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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