William A. Burke

68 total papers · 1.5k total citations
43 papers, 952 citations indexed

About

William A. Burke is a scholar working on Epidemiology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, William A. Burke has authored 43 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Oncology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in William A. Burke's work include Peptidase Inhibition and Analysis (6 papers), Lung Cancer Research Studies (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). William A. Burke is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Lung Cancer Research Studies (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). William A. Burke collaborates with scholars based in United States, Italy and Ireland. William A. Burke's co-authors include Phillip M. Ikins, John A. Meyer, Frederick B. Parker, Robert L. Comis, Robert A. Briggaman, Santo M. DiFino, John J. Gullo, Sandra J. Ginsberg, Eugene R. Heise and Jo‐David Fine and has published in prestigious journals such as JAMA, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

William A. Burke

43 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
William A. Burke 340 335 153 137 126 43 952
Donald J. Innes 236 0.7× 169 0.5× 330 2.2× 193 1.4× 80 0.6× 29 920
J Linder 252 0.7× 266 0.8× 240 1.6× 167 1.2× 54 0.4× 42 1.1k
Ira S. Schwartz 248 0.7× 214 0.6× 204 1.3× 228 1.7× 116 0.9× 44 1.0k
Stefan Schanz 318 0.9× 136 0.4× 225 1.5× 186 1.4× 160 1.3× 40 928
Henry A. Azar 136 0.4× 239 0.7× 323 2.1× 199 1.5× 67 0.5× 52 1.2k
Melissa Smith 344 1.0× 146 0.4× 95 0.6× 195 1.4× 157 1.2× 54 1.2k
R Bordés 187 0.6× 219 0.7× 294 1.9× 190 1.4× 148 1.2× 47 945
Seymour Fein 208 0.6× 388 1.2× 115 0.8× 271 2.0× 27 0.2× 40 1.0k
Sigurður Björnsson 380 1.1× 194 0.6× 27 0.2× 254 1.9× 78 0.6× 58 1.1k
W. Jones Williams 328 1.0× 204 0.6× 51 0.3× 175 1.3× 64 0.5× 55 1.2k

Countries citing papers authored by William A. Burke

Since Specialization
Citations

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

Fields of papers citing papers by William A. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William A. Burke

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