Michael P. Cusack

2.4k total citations
8 papers, 1000 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 1000 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 Mitochondrial Function and Pathology (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Michael P. Cusack is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Michael P. Cusack collaborates with scholars based in United States, Bulgaria and Mexico. Michael P. Cusack's co-authors include Bradford W. Gibson, Birgit Schilling, Matthew J. Rardin, Dylan J. Sorensen, Eric Verdin, C. Ronald Kahn, Jason M. Held, Sean D. Mooney, Biao Li and John C. Newman 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 991 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael P. Cusack United States	8	691	206	176	166	130	8	1000
Bradley R. Webster United States	12	425 0.6×	74 0.4×	196 1.1×	158 1.0×	19 0.1×	23	806
Veronika Obšilová Czechia	26	1.9k 2.8×	64 0.3×	53 0.3×	119 0.7×	86 0.7×	65	2.2k
Jinal Patel United States	7	829 1.2×	258 1.3×	19 0.1×	75 0.5×	39 0.3×	11	1.1k
Joshua J. Carson United States	11	1.6k 2.3×	46 0.2×	381 2.2×	450 2.7×	24 0.2×	12	2.1k
Kristie L. Rose United States	23	1.3k 1.9×	156 0.8×	16 0.1×	89 0.5×	107 0.8×	47	1.7k
Zuo‐Fei Yuan United States	24	1.5k 2.1×	603 2.9×	32 0.2×	81 0.5×	20 0.2×	48	1.7k
Ding Wang United States	18	727 1.1×	179 0.9×	13 0.1×	217 1.3×	25 0.2×	37	1.0k
Ashim Malhotra United States	16	852 1.2×	18 0.1×	59 0.3×	121 0.7×	62 0.5×	29	1.3k
R Chin United States	7	635 0.9×	95 0.5×	15 0.1×	38 0.2×	56 0.4×	10	1.0k
Danielle Dewar‐Darch Canada	7	563 0.8×	86 0.4×	79 0.4×	69 0.4×	14 0.1×	9	733

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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8 of 8 papers shown

Zawadzka, Anna, Birgit Schilling, Michael P. Cusack, et al.. (2014). Phosphoprotein Secretome of Tumor Cells as a Source of Candidates for Breast Cancer Biomarkers in Plasma. Molecular & Cellular Proteomics. 13(4). 1034–1049. 40 indexed citations

Zawadzka, Anna, Birgit Schilling, Jason M. Held, et al.. (2014). Variation and quantification among a target set of phosphopeptides in human plasma by multiple reaction monitoring and SWATH‐MS2 data‐independent acquisition. Electrophoresis. 35(24). 3487–3497. 20 indexed citations

Rardin, Matthew J., John C. Newman, Jason M. Held, et al.. (2013). Label-free quantitative proteomics of the lysine acetylome in mitochondria identifies substrates of SIRT3 in metabolic pathways. Proceedings of the National Academy of Sciences. 110(16). 6601–6606. 359 indexed citations

Schilling, Birgit, Matthew J. Rardin, Brendan MacLean, et al.. (2012). Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline. Molecular & Cellular Proteomics. 11(5). 202–214. 356 indexed citations

Cusack, Michael P., et al.. (2007). Efficient Identification of Critical Residues Based Only on Protein Structure by Network Analysis. PLoS ONE. 2(5). e421–e421. 25 indexed citations

Schilling, Birgit, Juliette Gafni, Xin Cong, et al.. (2006). Huntingtin Phosphorylation Sites Mapped by Mass Spectrometry. Journal of Biological Chemistry. 281(33). 23686–23697. 115 indexed citations

Schilling, Birgit, Srinivas Bharath, Richard H. Row, et al.. (2005). Rapid Purification and Mass Spectrometric Characterization of Mitochondrial NADH Dehydrogenase (Complex I) from Rodent Brain and a Dopaminergic Neuronal Cell Line. Molecular & Cellular Proteomics. 4(1). 84–96. 46 indexed citations

Schilling, Birgit, James Murray, Richard H. Row, et al.. (2005). Proteomic analysis of succinate dehydrogenase and ubiquinol-cytochrome c reductase (Complex II and III) isolated by immunoprecipitation from bovine and mouse heart mitochondria. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1762(2). 213–222. 39 indexed citations

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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