Michael P. Cusack

16 total papers · 2.4k total citations
8 papers, 997 citations indexed

About

Michael P. Cusack is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Michael P. Cusack has authored 8 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Surgery. Recurrent topics in Michael P. Cusack's work include Mass Spectrometry Techniques and Applications (3 papers), Mitochondrial Function and Pathology (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Michael P. Cusack is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Mitochondrial Function and Pathology (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Michael P. Cusack collaborates with scholars based in United States, Mexico and Bulgaria. Michael P. Cusack's co-authors include Birgit Schilling, Bradford W. Gibson, Dylan J. Sorensen, Eric Verdin, C. Ronald Kahn, Matthew J. Rardin, Jason M. Held, John C. Newman, Anna Zawadzka and Biao Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Michael P. Cusack

8 papers receiving 988 citations

Author Peers

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

Author Last Decade Papers Cites
Michael P. Cusack 690 205 176 167 129 8 997
Alexandria K. Sahu 682 1.0× 177 0.9× 269 1.5× 134 0.8× 13 0.1× 11 1.1k
Bradley R. Webster 421 0.6× 74 0.4× 195 1.1× 157 0.9× 19 0.1× 23 796
Donald S. Stapleton 732 1.1× 33 0.2× 55 0.3× 288 1.7× 51 0.4× 19 1.2k
Pabalu P. Karunadharma 739 1.1× 58 0.3× 28 0.2× 195 1.2× 87 0.7× 18 1.1k
Jinal Patel 828 1.2× 257 1.3× 19 0.1× 74 0.4× 39 0.3× 11 1.1k
Jigna V. Patel 719 1.0× 76 0.4× 21 0.1× 195 1.2× 65 0.5× 9 962
Sarah Warburton 773 1.1× 103 0.5× 16 0.1× 127 0.8× 40 0.3× 10 1.1k
Josue Baeza 651 0.9× 77 0.4× 457 2.6× 216 1.3× 12 0.1× 16 1.1k
Hanna G. Budayeva 421 0.6× 59 0.3× 288 1.6× 111 0.7× 13 0.1× 14 805
Hee-Won Park 560 0.8× 21 0.1× 79 0.4× 50 0.3× 188 1.5× 15 939

Countries citing papers authored by Michael P. Cusack

Since Specialization
Citations

This map shows the geographic impact of Michael 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 Michael 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 Michael P. Cusack more than expected).

Fields of papers citing papers by Michael P. Cusack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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