Anthony M. Burke

22 total papers · 789 total citations
14 papers, 572 citations indexed

About

Anthony M. Burke is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Anthony M. Burke has authored 14 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Electrical and Electronic Engineering and 3 papers in Organic Chemistry. Recurrent topics in Anthony M. Burke's work include Molecular Junctions and Nanostructures (5 papers), Organic Electronics and Photovoltaics (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Anthony M. Burke is often cited by papers focused on Molecular Junctions and Nanostructures (5 papers), Organic Electronics and Photovoltaics (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Anthony M. Burke collaborates with scholars based in United States, Slovenia and Italy. Anthony M. Burke's co-authors include Scott D. Rychnovsky, Alon A. Gorodetsky, Jonah‐Micah Jocson, Long Phan, David D. Ordinario, Lan Huang, Clinton Yu, Emil Karshalev, Ward G. Walkup and Robyn M. Kaake and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Anthony M. Burke

14 papers receiving 566 citations

Author Peers

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

Author Last Decade Papers Cites
Anthony M. Burke 239 202 97 79 75 14 572
John B. Warner 310 1.3× 33 0.2× 95 1.0× 56 0.7× 36 0.5× 16 504
D.C. O'Shea 208 0.9× 62 0.3× 18 0.2× 119 1.5× 51 0.7× 20 526
Pavel Buslaev 342 1.4× 42 0.2× 28 0.3× 68 0.9× 11 0.1× 21 557
Andrew D. Pris 137 0.6× 51 0.3× 23 0.2× 76 1.0× 12 0.2× 14 545
L. F. Braganza 322 1.3× 46 0.2× 85 0.9× 61 0.8× 13 0.2× 10 520
Natalia Ziębacz 251 1.1× 37 0.2× 115 1.2× 205 2.6× 61 0.8× 13 651
Hui Bian 114 0.5× 100 0.5× 63 0.6× 306 3.9× 9 0.1× 17 588
James L. Chao 55 0.2× 165 0.8× 36 0.4× 48 0.6× 14 0.2× 23 613
Greta Babakhanova 69 0.3× 59 0.3× 51 0.5× 99 1.3× 46 0.6× 22 600
Asuka Takeishi 157 0.7× 107 0.5× 41 0.4× 105 1.3× 23 0.3× 13 536

Countries citing papers authored by Anthony M. Burke

Since Specialization
Citations

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

Fields of papers citing papers by Anthony M. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony M. Burke. 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 Anthony M. Burke. The network helps show where Anthony M. Burke may publish in the future.

Co-authorship network of co-authors of Anthony M. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony M. Burke. A scholar is included among the top collaborators of Anthony M. Burke 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 Anthony M. Burke. Anthony M. Burke 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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