Jay J. Dunsford

80 total papers · 959 total citations
24 papers, 837 citations indexed

About

Jay J. Dunsford is a scholar working on Organic Chemistry, Inorganic Chemistry and Materials Chemistry. According to data from OpenAlex, Jay J. Dunsford has authored 24 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organic Chemistry, 5 papers in Inorganic Chemistry and 4 papers in Materials Chemistry. Recurrent topics in Jay J. Dunsford's work include Catalytic Cross-Coupling Reactions (17 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (8 papers) and Organoboron and organosilicon chemistry (7 papers). Jay J. Dunsford is often cited by papers focused on Catalytic Cross-Coupling Reactions (17 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (8 papers) and Organoboron and organosilicon chemistry (7 papers). Jay J. Dunsford collaborates with scholars based in United Kingdom, Netherlands and United States. Jay J. Dunsford's co-authors include K.J. Cavell, Michael J. Ingleson, Benson M. Kariuki, Ewan R. Clark, Cornelis J. Elsevier, J. E. Camp, Jessica Cid, Michael W. Fay, Robert J. Smith and Martin Lutz and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Chemistry - A European Journal.

In The Last Decade

Jay J. Dunsford

24 papers receiving 831 citations

Author Peers

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

Author Last Decade Papers Cites
Jay J. Dunsford 769 160 109 57 49 24 837
Lihui Zhu 836 1.1× 178 1.1× 94 0.9× 56 1.0× 22 0.4× 22 983
Chandrakanta Dash 716 0.9× 201 1.3× 78 0.7× 39 0.7× 40 0.8× 31 795
Gary J. Balaich 567 0.7× 179 1.1× 112 1.0× 46 0.8× 30 0.6× 40 709
Candela Segarra 828 1.1× 265 1.7× 75 0.7× 47 0.8× 91 1.9× 17 909
Carmen López‐Mardomingo 685 0.9× 259 1.6× 121 1.1× 51 0.9× 41 0.8× 43 758
Bin Li 599 0.8× 217 1.4× 139 1.3× 63 1.1× 32 0.7× 25 812
Masuhiko Tamura 869 1.1× 314 2.0× 42 0.4× 55 1.0× 58 1.2× 22 954
Elena Sperotto 687 0.9× 100 0.6× 99 0.9× 71 1.2× 27 0.6× 13 825
Serena Fantasia 747 1.0× 215 1.3× 95 0.9× 73 1.3× 44 0.9× 29 908
Markus Horn 665 0.9× 163 1.0× 91 0.8× 64 1.1× 77 1.6× 15 753

Countries citing papers authored by Jay J. Dunsford

Since Specialization
Citations

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

Fields of papers citing papers by Jay J. Dunsford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay J. Dunsford. 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 Jay J. Dunsford. The network helps show where Jay J. Dunsford may publish in the future.

Co-authorship network of co-authors of Jay J. Dunsford

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

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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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