Patrick A. Everley

1.1k total citations
8 papers, 430 citations indexed

About

Patrick A. Everley is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Patrick A. Everley has authored 8 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Cancer Research. Recurrent topics in Patrick A. Everley's work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Patrick A. Everley is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Patrick A. Everley collaborates with scholars based in United States and Netherlands. Patrick A. Everley's co-authors include Steven P. Gygi, Bruce R. Zetter, Jeroen Krijgsveld, Joshua E. Elias, Corey E. Bakalarski, Scott A. Gerber, Wilhelm Haas, Judit Villén, James F. Dillman and Sean A. Beausoleil and has published in prestigious journals such as Annals of the New York Academy of Sciences, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

Patrick A. Everley

8 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick A. Everley United States	7	322	238	46	46	41	8	430
Mi Ke China	10	235 0.7×	153 0.6×	44 1.0×	58 1.3×	22 0.5×	32	375
Pey Yee Lee Malaysia	11	360 1.1×	193 0.8×	65 1.4×	32 0.7×	49 1.2×	18	542
Andreas Kuehn Germany	5	480 1.5×	461 1.9×	29 0.6×	35 0.8×	21 0.5×	9	701
Hyoung–Joo Lee South Korea	14	278 0.9×	156 0.7×	41 0.9×	15 0.3×	29 0.7×	23	402
Julian Vasilescu Canada	11	466 1.4×	200 0.8×	77 1.7×	84 1.8×	44 1.1×	14	642
Connor A. West United States	9	347 1.1×	163 0.7×	28 0.6×	46 1.0×	23 0.6×	11	415
Maria Reinecke Germany	6	318 1.0×	188 0.8×	43 0.9×	31 0.7×	18 0.4×	11	455
Alexander Hogrebe United States	6	584 1.8×	455 1.9×	60 1.3×	49 1.1×	35 0.9×	10	747
Margarita Strozynski Norway	11	307 1.0×	206 0.9×	36 0.8×	54 1.2×	12 0.3×	15	405
Jerome M. Bailey United States	12	380 1.2×	341 1.4×	30 0.7×	24 0.5×	22 0.5×	20	558

Countries citing papers authored by Patrick A. Everley

Since Specialization

Citations

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

Fields of papers citing papers by Patrick A. Everley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick A. Everley. 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 Patrick A. Everley. The network helps show where Patrick A. Everley may publish in the future.

Co-authorship network of co-authors of Patrick A. Everley

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

Everley, Patrick A. & James F. Dillman. (2010). Genomics and proteomics in chemical warfare agent research: Recent studies and future applications. Toxicology Letters. 198(3). 297–303. 6 indexed citations

Yang, Wei, Quan-Ying Cai, Vivian Wai Yan Lui, et al.. (2010). Quantitative Proteomics Analysis Reveals Molecular Networks Regulated by Epidermal Growth Factor Receptor Level in Head and Neck Cancer. Journal of Proteome Research. 9(6). 3073–3082. 22 indexed citations

Everley, Patrick A. & James F. Dillman. (2009). A Large-Scale Quantitative Proteomic Approach To Identifying Sulfur Mustard-Induced Protein Phosphorylation Cascades. Chemical Research in Toxicology. 23(1). 20–25. 10 indexed citations

Bakalarski, Corey E., Joshua E. Elias, Judit Villén, et al.. (2008). The Impact of Peptide Abundance and Dynamic Range on Stable-Isotope-Based Quantitative Proteomic Analyses. Journal of Proteome Research. 7(11). 4756–4765. 97 indexed citations

Everley, Patrick A., Carlos A. Gartner, Wilhelm Haas, et al.. (2007). Assessing Enzyme Activities Using Stable Isotope Labeling and Mass Spectrometry. Molecular & Cellular Proteomics. 6(10). 1771–1777. 35 indexed citations

Everley, Patrick A., Corey E. Bakalarski, Joshua E. Elias, et al.. (2006). Enhanced Analysis of Metastatic Prostate Cancer Using Stable Isotopes and High Mass Accuracy Instrumentation. Journal of Proteome Research. 5(5). 1224–1231. 65 indexed citations

Everley, Patrick A. & Bruce R. Zetter. (2005). Proteomics in Tumor Progression and Metastasis. Annals of the New York Academy of Sciences. 1059(1). 1–10. 11 indexed citations

Everley, Patrick A., Jeroen Krijgsveld, Bruce R. Zetter, & Steven P. Gygi. (2004). Quantitative Cancer Proteomics: Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) as a Tool for Prostate Cancer Research. Molecular & Cellular Proteomics. 3(7). 729–735. 184 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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