Deanna L. Plubell

1.1k total citations
16 papers, 615 citations indexed

About

Deanna L. Plubell is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Deanna L. Plubell has authored 16 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Physiology. Recurrent topics in Deanna L. Plubell's work include Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). Deanna L. Plubell is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). Deanna L. Plubell collaborates with scholars based in United States, Australia and Canada. Deanna L. Plubell's co-authors include Jessica Minnier, Nathalie Pamir, Phillip A. Wilmarth, Alexandra M Fenton, Yuqi Zhao, Xia Yang, Ashok P. Reddy, John Klimek, Larry L. David and Sergio Fazio and has published in prestigious journals such as Nature Communications, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Deanna L. Plubell

14 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deanna L. Plubell United States 11 259 188 114 99 75 16 615
Young‐Ki Paik South Korea 13 375 1.4× 184 1.0× 92 0.8× 39 0.4× 89 1.2× 17 712
Jakub Karczmarski Poland 17 535 2.1× 94 0.5× 60 0.5× 54 0.5× 155 2.1× 40 856
Angela D. Irwin United States 11 240 0.9× 108 0.6× 17 0.1× 154 1.6× 49 0.7× 11 507
Yifei Zhu China 17 430 1.7× 57 0.3× 158 1.4× 83 0.8× 165 2.2× 46 787
Aafaque Ahmad Khan India 14 277 1.1× 74 0.4× 30 0.3× 113 1.1× 113 1.5× 28 632
Mark Hilliard Ireland 13 475 1.8× 50 0.3× 69 0.6× 210 2.1× 43 0.6× 15 794
Emmanuel Gomas France 10 543 2.1× 198 1.1× 30 0.3× 68 0.7× 46 0.6× 11 838
Marcus Gry Sweden 10 489 1.9× 41 0.2× 118 1.0× 81 0.8× 86 1.1× 13 879
Toshiyuki Mikami Japan 9 471 1.8× 56 0.3× 30 0.3× 112 1.1× 85 1.1× 13 722
Marc A. Beer Switzerland 9 332 1.3× 51 0.3× 31 0.3× 32 0.3× 136 1.8× 25 699

Countries citing papers authored by Deanna L. Plubell

Since Specialization
Citations

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

Fields of papers citing papers by Deanna L. Plubell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deanna L. Plubell. 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 Deanna L. Plubell. The network helps show where Deanna L. Plubell may publish in the future.

Co-authorship network of co-authors of Deanna L. Plubell

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

All Works

16 of 16 papers shown
1.
Hsu, Chris, Nicholas Shulman, Hamish Stewart, et al.. (2025). Evaluation of a Prototype Orbitrap Astral Zoom Mass Spectrometer for Quantitative Proteomics─Beyond Identification Lists. Journal of Proteome Research. 24(11). 5742–5754.
2.
Plubell, Deanna L., Eric Huang, Sandra E. Spencer Miko, et al.. (2025). Data Independent Acquisition to Inform the Development of Targeted Proteomics Assays Using a Triple Quadrupole Mass Spectrometer. Journal of Proteome Research. 24(6). 2885–2891.
3.
Mudge, Miranda C., Michael Riffle, Deanna L. Plubell, et al.. (2025). Harmful algal blooms are preceded by a predictable and quantifiable shift in the oceanic microbiome. Nature Communications. 16(1). 3986–3986. 3 indexed citations
4.
Wu, Christine C., Kristine A. Tsantilas, Deanna L. Plubell, et al.. (2025). Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome. Nature Communications. 16(1). 5447–5447. 10 indexed citations
5.
Tsantilas, Kristine A., Gennifer E. Merrihew, Richard S. Johnson, et al.. (2024). A Framework for Quality Control in Quantitative Proteomics. Journal of Proteome Research. 23(10). 4392–4408. 10 indexed citations
6.
Huang, Zhi, Gennifer E. Merrihew, Eric B. Larson, et al.. (2023). Brain proteomic analysis implicates actin filament processes and injury response in resilience to Alzheimer’s disease. Nature Communications. 14(1). 2747–2747. 15 indexed citations
7.
Merrihew, Gennifer E., Deanna L. Plubell, Brian C. Searle, et al.. (2023). A peptide-centric quantitative proteomics dataset for the phenotypic assessment of Alzheimer’s disease. Scientific Data. 10(1). 206–206. 10 indexed citations
8.
Plubell, Deanna L., Lukas Käll, Bobbie‐Jo Webb‐Robertson, et al.. (2022). Putting Humpty Dumpty Back Together Again: What Does Protein Quantification Mean in Bottom-Up Proteomics?. Journal of Proteome Research. 21(4). 891–898. 52 indexed citations
9.
Lin, Andy, Deanna L. Plubell, Uri Keich, & William Stafford Noble. (2021). Accurately Assigning Peptides to Spectra When Only a Subset of Peptides Are Relevant. Journal of Proteome Research. 20(8). 4153–4164. 9 indexed citations
10.
Plubell, Deanna L., Phillip A. Wilmarth, Wayne M. Clark, et al.. (2020). High-Density Lipoprotein Carries Markers That Track With Recovery From Stroke. Circulation Research. 127(10). 1274–1287. 40 indexed citations
11.
Tavori, Hagai, Alexandra M Fenton, Deanna L. Plubell, et al.. (2019). Elevated Lipoprotein(a) Levels Lower ABCA1 Cholesterol Efflux Capacity. The Journal of Clinical Endocrinology & Metabolism. 104(10). 4793–4803. 13 indexed citations
12.
Pamir, Nathalie, Calvin Pan, Deanna L. Plubell, et al.. (2019). Genetic control of the mouse HDL proteome defines HDL traits, function, and heterogeneity. Journal of Lipid Research. 60(3). 594–608. 17 indexed citations
13.
Plubell, Deanna L., Alexandra M Fenton, Phillip A. Wilmarth, et al.. (2018). GM-CSF driven myeloid cells in adipose tissue link weight gain and insulin resistance via formation of 2-aminoadipate. Scientific Reports. 8(1). 11485–11485. 25 indexed citations
14.
Plubell, Deanna L., Phillip A. Wilmarth, Yuqi Zhao, et al.. (2017). Extended Multiplexing of Tandem Mass Tags (TMT) Labeling Reveals Age and High Fat Diet Specific Proteome Changes in Mouse Epididymal Adipose Tissue. Molecular & Cellular Proteomics. 16(5). 873–890. 229 indexed citations
15.
Tavori, Hagai, Ilaria Giunzioni, Irene M. Predazzi, et al.. (2016). Human PCSK9 promotes hepatic lipogenesis and atherosclerosis development via apoE- and LDLR-mediated mechanisms. Cardiovascular Research. 110(2). 268–278. 94 indexed citations
16.
Tavori, Hagai, Jessica Minnier, Deanna L. Plubell, et al.. (2016). PCSK9 Association With Lipoprotein(a). Circulation Research. 119(1). 29–35. 88 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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