Kevin P. Cusack

32 total papers · 527 total citations
20 papers, 376 citations indexed

About

Kevin P. Cusack is a scholar working on Organic Chemistry, Molecular Biology and Surgery. According to data from OpenAlex, Kevin P. Cusack has authored 20 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 9 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Kevin P. Cusack's work include Sphingolipid Metabolism and Signaling (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Kevin P. Cusack is often cited by papers focused on Sphingolipid Metabolism and Signaling (4 papers), Steroid Chemistry and Biochemistry (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). Kevin P. Cusack collaborates with scholars based in United States, United Kingdom and Germany. Kevin P. Cusack's co-authors include Leah L. Frye, Anil Vasudevan, Deborah A. Leonard, Michael Z. Hoemann, Robert H. Stoffel, Roland G. Heym, Jasmina Marjanovic, Ying Wang, Udo E. W. Lange and Hillary M. Peltier and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Journal of Lipid Research.

In The Last Decade

Kevin P. Cusack

19 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin P. Cusack 194 188 46 35 32 20 376
Ildiko M. Buck 274 1.4× 164 0.9× 46 1.0× 20 0.6× 48 1.5× 17 438
Agustin Casimiro‐Garcia 158 0.8× 155 0.8× 48 1.0× 17 0.5× 45 1.4× 22 367
Ellen K. Kick 251 1.3× 161 0.9× 62 1.3× 14 0.4× 60 1.9× 11 382
Ray Unwalla 131 0.7× 166 0.9× 89 1.9× 23 0.7× 33 1.0× 13 406
Smriti Khanna 172 0.9× 151 0.8× 41 0.9× 44 1.3× 20 0.6× 19 347
R. H. Hutchings 118 0.6× 210 1.1× 38 0.8× 30 0.9× 21 0.7× 14 349
Matti Lepistö 201 1.0× 99 0.5× 44 1.0× 18 0.5× 42 1.3× 16 377
J. Schmid 199 1.0× 152 0.8× 27 0.6× 43 1.2× 56 1.8× 16 397
Michael J. Ashton 236 1.2× 135 0.7× 34 0.7× 17 0.5× 17 0.5× 19 409
Alan C. Tinker 131 0.7× 199 1.1× 60 1.3× 23 0.7× 12 0.4× 18 435

Countries citing papers authored by Kevin P. Cusack

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Cusack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin P. Cusack

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin P. Cusack. A scholar is included among the top collaborators of Kevin P. Cusack 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 P. Cusack. Kevin P. Cusack 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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