Shannon Burke

30 total papers · 1.9k total citations
20 papers, 1.0k citations indexed

About

Shannon Burke is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Shannon Burke has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Shannon Burke's work include Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (7 papers) and CAR-T cell therapy research (5 papers). Shannon Burke is often cited by papers focused on Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (7 papers) and CAR-T cell therapy research (5 papers). Shannon Burke collaborates with scholars based in United Kingdom, United States and China. Shannon Burke's co-authors include Pentao Liu, Peng Li, Francesco Colucci, Neal G. Copeland, Nancy A. Jenkins, Juexuan Wang, Yong Yu, Xiongfeng Chen, Gordon Dougan and Liming Lu and has published in prestigious journals such as Science, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Shannon Burke

19 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Shannon Burke 688 378 198 101 92 20 1.0k
Philip D. Noguchi 460 0.7× 488 1.3× 302 1.5× 135 1.3× 196 2.1× 32 1.2k
S Nishikawa 477 0.7× 341 0.9× 179 0.9× 33 0.3× 216 2.3× 13 970
Qinglin Ou 414 0.6× 385 1.0× 114 0.6× 58 0.6× 193 2.1× 14 1.0k
S A Cannistra 368 0.5× 404 1.1× 325 1.6× 78 0.8× 107 1.2× 24 1.1k
Brigitte Birebent 603 0.9× 249 0.7× 259 1.3× 116 1.1× 135 1.5× 33 1.1k
K L Simpson 499 0.7× 362 1.0× 134 0.7× 33 0.3× 70 0.8× 16 1.1k
Diana Tronik‐Le Roux 549 0.8× 251 0.7× 209 1.1× 54 0.5× 56 0.6× 37 1.1k
Juha Hakulinen 519 0.8× 432 1.1× 161 0.8× 32 0.3× 55 0.6× 17 1.0k
G. Reisbach 458 0.7× 258 0.7× 511 2.6× 43 0.4× 81 0.9× 26 1.1k
Andy J.G. Pötgens 269 0.4× 645 1.7× 113 0.6× 48 0.5× 121 1.3× 25 1.1k

Countries citing papers authored by Shannon Burke

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Burke

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