Kevin Burgess

30.3k total citations · 6 hit papers
390 papers, 26.1k citations indexed

About

Kevin Burgess is a scholar working on Organic Chemistry, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Kevin Burgess has authored 390 papers receiving a total of 26.1k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Organic Chemistry, 185 papers in Molecular Biology and 64 papers in Materials Chemistry. Recurrent topics in Kevin Burgess's work include Chemical Synthesis and Analysis (115 papers), Asymmetric Hydrogenation and Catalysis (48 papers) and Click Chemistry and Applications (47 papers). Kevin Burgess is often cited by papers focused on Chemical Synthesis and Analysis (115 papers), Asymmetric Hydrogenation and Catalysis (48 papers) and Click Chemistry and Applications (47 papers). Kevin Burgess collaborates with scholars based in United States, Malaysia and Canada. Kevin Burgess's co-authors include Aurore Loudet, Junyan Han, Benjamin S. Lane, Michael J. Ohlmeyer, X.Y. Cui, Anyanee Kamkaew, Hong Boon Lee, Yu Angell, Siang Hui Lim and Lip Yong Chung and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Kevin Burgess

379 papers receiving 25.6k citations

Hit Papers

BODIPY Dyes and Their Der... 1991 2026 2002 2014 2007 2012 2009 2003 1991 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Burgess United States 71 11.7k 11.2k 7.2k 5.5k 5.2k 390 26.1k
Zijian Guo China 81 9.1k 0.8× 6.9k 0.6× 8.3k 1.1× 5.5k 1.0× 5.5k 1.1× 510 27.8k
Jonathan S. Lindsey United States 85 22.0k 1.9× 6.0k 0.5× 7.4k 1.0× 3.2k 0.6× 4.5k 0.9× 481 28.4k
Vincent M. Lynch United States 88 13.7k 1.2× 12.4k 1.1× 4.4k 0.6× 10.3k 1.9× 1.5k 0.3× 564 26.4k
Ian D. Williams Hong Kong 84 19.2k 1.6× 11.3k 1.0× 3.0k 0.4× 6.4k 1.2× 3.6k 0.7× 553 32.0k
Anthony Harriman United Kingdom 71 15.3k 1.3× 4.9k 0.4× 2.9k 0.4× 4.5k 0.8× 2.5k 0.5× 333 20.7k
Atsuhiro Osuka Japan 99 35.6k 3.0× 18.8k 1.7× 8.1k 1.1× 3.6k 0.7× 4.8k 0.9× 1.1k 42.9k
Raymond Ziessel France 91 21.3k 1.8× 8.5k 0.8× 2.2k 0.3× 7.2k 1.3× 3.6k 0.7× 500 30.9k
Nagao Kobayashi Japan 68 15.0k 1.3× 5.2k 0.5× 3.2k 0.4× 2.1k 0.4× 2.8k 0.5× 551 18.7k
Dong Wang China 79 11.7k 1.0× 5.8k 0.5× 4.6k 0.6× 2.5k 0.5× 11.7k 2.3× 506 23.9k
Yuning Hong China 63 19.9k 1.7× 5.1k 0.5× 4.7k 0.6× 10.2k 1.9× 5.2k 1.0× 162 23.9k

Countries citing papers authored by Kevin Burgess

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Burgess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Burgess

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

All Works

20 of 20 papers shown
1.
Burgess, Kevin, et al.. (2024). Dual-Capped Helical Interface Mimics. Journal of the American Chemical Society. 146(15). 10331–10341. 1 indexed citations
2.
Burgess, Kevin, et al.. (2023). Recent Development of Nanomaterials for Transdermal Drug Delivery. Biomedicines. 11(4). 1124–1124. 39 indexed citations
3.
Usama, Syed Muhammad, et al.. (2023). Cytotoxicities of Tumor‐Seeking Dyes: Impact on Future Clinical Trials. ChemMedChem. 18(5). e202200561–e202200561. 5 indexed citations
4.
Burgess, Kevin, et al.. (2023). Streamlined Protein‐Protein Interface Loop Mimicry. Angewandte Chemie International Edition. 62(49). e202307092–e202307092. 5 indexed citations
5.
Usama, Syed Muhammad, et al.. (2021). Fluorescent kinase inhibitors as probes in cancer. Chemical Society Reviews. 50(17). 9794–9816. 26 indexed citations
6.
Liang, Xiaowen, et al.. (2020). Piptides: New, Easily Accessible Chemotypes For Interactions With Biomolecules. Angewandte Chemie International Edition. 60(12). 6653–6659. 5 indexed citations
7.
Burgess, Kevin, et al.. (2020). Small molecules targeting the NEDD8·NAE protein–protein interaction. Chemical Science. 12(4). 1535–1543. 6 indexed citations
8.
Burgess, Kevin, et al.. (2019). PROTACs suppression of CDK4/6, crucial kinases for cell cycle regulation in cancer. Chemical Communications. 55(18). 2704–2707. 100 indexed citations
9.
Pérez, Lisa M., et al.. (2019). Correlations between secondary structure- and protein–protein interface-mimicry: the interface mimicry hypothesis. Organic & Biomolecular Chemistry. 17(12). 3267–3274. 14 indexed citations
10.
Usama, Syed Muhammad, et al.. (2019). A Near-IR Fluorescent Dasatinib Derivative That Localizes in Cancer Cells. Bioconjugate Chemistry. 30(4). 1175–1181. 27 indexed citations
11.
Burgess, Kevin, et al.. (2019). TrkC-Targeted Kinase Inhibitors And PROTACs. Molecular Pharmaceutics. 16(10). 4313–4318. 29 indexed citations
12.
Pérez, Lisa M., et al.. (2018). Design criteria for minimalist mimics of protein–protein interface segments. Organic & Biomolecular Chemistry. 17(4). 908–915. 6 indexed citations
13.
Han, Junyan, Jiney Jose, Erwen Mei, & Kevin Burgess. (2007). Chemiluminescent Energy‐Transfer Cassettes Based on Fluorescein and Nile Red. Angewandte Chemie International Edition. 46(10). 1684–1687. 103 indexed citations
14.
Kerr, Don, Luke Houghton, & Kevin Burgess. (2007). Power Relationships that Lead to the Development of Feral Systems. AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems. 14(2). 29 indexed citations
15.
Reyes, Samuel & Kevin Burgess. (2006). Heterovalent selectivity and the combinatorial advantage. Chemical Society Reviews. 35(5). 416–23. 14 indexed citations
16.
Bruno, Martín A., Paul B. S. Clarke, Alicia Seltzer, et al.. (2004). Long-Lasting Rescue of Age-Associated Deficits in Cognition and the CNS Cholinergic Phenotype by a Partial Agonist Peptidomimetic Ligand of TrkA. Journal of Neuroscience. 24(37). 8009–8018. 76 indexed citations
17.
Burgess, Kevin, et al.. (2003). Short and Long Term Impacts of the Construction of Coast Defences on Coastal Erosion. 1270. 3 indexed citations
18.
Burgess, Kevin, Inn‐Oc Han, Afang Zhang, et al.. (2001). DiSSiMiL: Diverse Small Size Mini‐Libraries applied to simple and rapid epitope mapping of a monoclonal antibody. Journal of Peptide Research. 57(1). 68–76. 3 indexed citations
19.
Burgess, Kevin & Jieping Zhu. (1997). Novel vancomycin dimers with activity against vancomycin-resistant enterococci. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 10(11). 818–821. 1 indexed citations
20.
Burgess, Kevin, et al.. (1994). Combinatorial Technologies Involving Reiterative Division/Coupling/Recombination: Statistical Considerations. Journal of Medicinal Chemistry. 37(19). 2985–2987. 52 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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