Katherine Burton

45 total papers · 705 total citations
20 papers, 600 citations indexed

About

Katherine Burton is a scholar working on Organic Chemistry, Spectroscopy and Pharmaceutical Science. According to data from OpenAlex, Katherine Burton has authored 20 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 8 papers in Spectroscopy and 5 papers in Pharmaceutical Science. Recurrent topics in Katherine Burton's work include Chemical Thermodynamics and Molecular Structure (9 papers), Organoboron and organosilicon chemistry (7 papers) and Analytical Chemistry and Chromatography (6 papers). Katherine Burton is often cited by papers focused on Chemical Thermodynamics and Molecular Structure (9 papers), Organoboron and organosilicon chemistry (7 papers) and Analytical Chemistry and Chromatography (6 papers). Katherine Burton collaborates with scholars based in United Kingdom, United States and Canada. Katherine Burton's co-authors include Christina Mintz, Michael H. Abraham, William E. Acree, Mark Lautens, Michael P. Clark, Andrew Whyte, Jingli Zhang, William E. Acree, Douglas W. Stephan and Maotong Xu and has published in prestigious journals such as Angewandte Chemie International Edition, Chemistry - A European Journal and Organic Letters.

In The Last Decade

Katherine Burton

20 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Katherine Burton 442 149 142 114 90 20 600
Hô Nam‐Trân 147 0.3× 161 1.1× 123 0.9× 100 0.9× 10 0.1× 14 566
François Besseau 313 0.7× 119 0.8× 22 0.2× 26 0.2× 90 1.0× 14 553
Robert L. Benoit 299 0.7× 135 0.9× 51 0.4× 43 0.4× 56 0.6× 22 558
Jean François Gal 399 0.9× 309 2.1× 17 0.1× 27 0.2× 62 0.7× 16 666
Martinus Bos 148 0.3× 105 0.7× 19 0.1× 141 1.2× 116 1.3× 19 572
Leonello Paoloni 195 0.4× 137 0.9× 12 0.1× 65 0.6× 69 0.8× 18 594
Laura Carbonaro 177 0.4× 64 0.4× 14 0.1× 60 0.5× 94 1.0× 20 517
H. U. Daeniker 532 1.2× 70 0.5× 28 0.2× 32 0.3× 25 0.3× 24 695
Pierre Charles Maria 371 0.8× 213 1.4× 14 0.1× 11 0.1× 64 0.7× 14 542
Animesh Pan 361 0.8× 97 0.7× 40 0.3× 58 0.5× 18 0.2× 27 620

Countries citing papers authored by Katherine Burton

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Burton

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Burton. A scholar is included among the top collaborators of Katherine Burton 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 Katherine Burton. Katherine Burton 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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