Michael E. Cusick

21.8k total citations · 3 hit papers
40 papers, 8.3k citations indexed

About

Michael E. Cusick is a scholar working on Molecular Biology, Ecology and Cell Biology. According to data from OpenAlex, Michael E. Cusick has authored 40 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Cell Biology. Recurrent topics in Michael E. Cusick's work include Bioinformatics and Genomic Networks (17 papers), Fungal and yeast genetics research (10 papers) and RNA and protein synthesis mechanisms (10 papers). Michael E. Cusick is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Fungal and yeast genetics research (10 papers) and RNA and protein synthesis mechanisms (10 papers). Michael E. Cusick collaborates with scholars based in United States, Belgium and France. Michael E. Cusick's co-authors include Marc Vidal, Albert-Ĺaszló Barabási, K.-I. Goh, Barton Childs, David Valle, Muhammed A. Yıldırım, Denis Dupuy, Jing‐Dong J. Han, Nicolas Bertin and Frederick P. Roth and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Michael E. Cusick

40 papers receiving 8.2k citations

Hit Papers

The human disease network 2004 2026 2011 2018 2007 2007 2004 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael E. Cusick United States 24 6.9k 1.7k 1.1k 498 375 40 8.3k
Haiyuan Yu United States 42 8.2k 1.2× 1.4k 0.9× 963 0.9× 628 1.3× 265 0.7× 129 9.9k
Reinhard Schneider Germany 43 7.0k 1.0× 915 0.6× 718 0.7× 368 0.7× 181 0.5× 196 10.5k
Frederick P. Roth United States 49 9.9k 1.4× 1.1k 0.7× 1.8k 1.6× 519 1.0× 228 0.6× 133 11.9k
Christopher W.V. Hogue Canada 25 6.9k 1.0× 975 0.6× 562 0.5× 840 1.7× 207 0.6× 62 8.9k
Jinbo Xu United States 41 6.3k 0.9× 1.1k 0.6× 595 0.5× 210 0.4× 149 0.4× 153 7.9k
Péter Csermely Hungary 58 8.8k 1.3× 1.3k 0.8× 563 0.5× 1.7k 3.4× 295 0.8× 212 11.9k
Shoshana J. Wodak Belgium 61 10.8k 1.6× 2.1k 1.3× 737 0.7× 801 1.6× 122 0.3× 184 13.0k
Amedeo Caflisch Switzerland 71 11.0k 1.6× 2.6k 1.6× 330 0.3× 541 1.1× 409 1.1× 288 14.8k
Boris Ν. Kholodenko United States 53 9.4k 1.3× 954 0.6× 630 0.6× 1.7k 3.5× 210 0.6× 217 11.5k
Philip M. Kim Canada 40 6.3k 0.9× 641 0.4× 872 0.8× 581 1.2× 72 0.2× 94 7.6k

Countries citing papers authored by Michael E. Cusick

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Cusick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael E. Cusick

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E. Cusick. A scholar is included among the top collaborators of Michael E. Cusick 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 E. Cusick. Michael E. Cusick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sahni, Nidhi, S. Stephen Yi, Quan Zhong, et al.. (2013). Edgotype: a fundamental link between genotype and phenotype. Current Opinion in Genetics & Development. 23(6). 649–657. 102 indexed citations
2.
Dreze, Matija, Dario Monachello, Claire Lurin, et al.. (2010). High-Quality Binary Interactome Mapping. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 281–315. 92 indexed citations
3.
Pilot‐Storck, Fanny, Emilie Chopin, Jean‐François Rual, et al.. (2010). Interactome Mapping of the Phosphatidylinositol 3-Kinase-Mammalian Target of Rapamycin Pathway Identifies Deformed Epidermal Autoregulatory Factor-1 as a New Glycogen Synthase Kinase-3 Interactor. Molecular & Cellular Proteomics. 9(7). 1578–1593. 48 indexed citations
4.
Han, Yan, K. Venkatesan, John Beaver, et al.. (2010). A Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster. PLoS ONE. 5(8). e12139–e12139. 12 indexed citations
5.
Nicolo, Arcangela De, Emilio Parisini, Quan Zhong, et al.. (2009). Multimodal Assessment of Protein Functional Deficiency Supports Pathogenicity of BRCA1 p.V1688del. Cancer Research. 69(17). 7030–7037. 14 indexed citations
6.
Salehi‐Ashtiani, Kourosh, Chenwei Lin, Tong Hao, et al.. (2009). Large-scale RACE approach for proactive experimental definition of C. elegans ORFeome. Genome Research. 19(12). 2334–2342. 12 indexed citations
7.
Cusick, Michael E., Haiyuan Yu, Alex Smolyar, et al.. (2008). Literature-curated protein interaction datasets. Nature Methods. 6(1). 39–46. 212 indexed citations
8.
Li, Qianru, Anne‐Ruxandra Carvunis, Haiyuan Yu, et al.. (2008). Revisiting the Saccharomyces cerevisiae predicted ORFeome. Genome Research. 18(8). 1294–1303. 23 indexed citations
9.
Falter‐Braun, Pascal, Murat Taşan, Matija Dreze, et al.. (2008). An experimentally derived confidence score for binary protein-protein interactions. Nature Methods. 6(1). 91–97. 321 indexed citations
10.
Goh, K.-I., Michael E. Cusick, David Valle, et al.. (2007). The human disease network. Proceedings of the National Academy of Sciences. 104(21). 8685–8690. 2301 indexed citations breakdown →
11.
Cusick, Michael E., et al.. (2007). human disease network. 5 indexed citations
12.
Lamesch, Philippe, Ning Li, Stuart Milstein, et al.. (2007). hORFeome v3.1: A resource of human open reading frames representing over 10,000 human genes. Genomics. 89(3). 307–315. 202 indexed citations
13.
Haynes, Chad, Christopher J. Oldfield, Fei Ji, et al.. (2006). Intrinsic Disorder Is a Common Feature of Hub Proteins from Four Eukaryotic Interactomes. PLoS Computational Biology. 2(8). e100–e100. 463 indexed citations
14.
Han, Jing‐Dong J., Denis Dupuy, Nicolas Bertin, Michael E. Cusick, & Marc Vidal. (2005). Effect of sampling on topology predictions of protein-protein interaction networks. Nature Biotechnology. 23(7). 839–844. 241 indexed citations
15.
Haynes, Chad, Christopher J. Oldfield, Fei Ji, et al.. (2005). Intrinsic Disorder is a Common Feature of Hub Proteins from Four Eukaryotic Interactomes. PLoS Computational Biology. preprint(2006). e100–e100. 11 indexed citations
16.
Han, Jing‐Dong J., Nicolas Bertin, Tong Hao, et al.. (2004). Evidence for dynamically organized modularity in the yeast protein–protein interaction network. Nature. 430(6995). 88–93. 1301 indexed citations breakdown →
17.
Cusick, Michael E.. (1994). Purification and identification of two major single-stranded binding proteins of yeast Saccharomyces cerevisiae as ribosomal protein L4 and histone H2B. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1217(1). 29–30. 4 indexed citations
18.
Cusick, Michael E.. (1994). RNP1, a new ribonucleoprotein gene of the yeastSaccharomyces cerevisiae. Nucleic Acids Research. 22(5). 869–877. 5 indexed citations
20.
Chang, Tien‐Hsien, Michael W. Clark, Arthur J. Lustig, Michael E. Cusick, & John Abelson. (1988). RNA11 Protein is Associated with the Yeast Spliceosome and is Localized in the Periphery of the Cell Nucleus. Molecular and Cellular Biology. 8(6). 2379–2393. 45 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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