Shannon Eliuk

1.0k total citations
9 papers, 677 citations indexed

About

Shannon Eliuk is a scholar working on Spectroscopy, Molecular Biology and Oncology. According to data from OpenAlex, Shannon Eliuk has authored 9 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Spectroscopy, 6 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Shannon Eliuk's work include Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Shannon Eliuk is often cited by papers focused on Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Shannon Eliuk collaborates with scholars based in United States, Germany and Denmark. Shannon Eliuk's co-authors include Alexander Makarov, Vlad Zabrouskov, Stephen Barnes, Philip M. Remes, Raman Mathur, Helen Kim, Stevan Horning, Jesse D. Canterbury, Huy Anh Bui and Matthew B. Renfrow and has published in prestigious journals such as Analytical Chemistry, Journal of Lipid Research and Molecular & Cellular Proteomics.

In The Last Decade

Shannon Eliuk

9 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shannon Eliuk United States	9	424	423	46	38	38	9	677
Omar Belgacem Austria	17	333 0.8×	375 0.9×	33 0.7×	30 0.8×	37 1.0×	23	605
Kristin Teuber Germany	10	257 0.6×	342 0.8×	53 1.2×	18 0.5×	39 1.0×	13	532
James T. Kapron United States	12	244 0.6×	238 0.6×	57 1.2×	29 0.8×	53 1.4×	16	519
Jean‐Jacques Dunyach United States	11	588 1.4×	465 1.1×	60 1.3×	42 1.1×	56 1.5×	15	808
Stephanie Kaspar Germany	9	286 0.7×	452 1.1×	32 0.7×	24 0.6×	20 0.5×	11	705
Jan Jordens Belgium	12	343 0.8×	512 1.2×	42 0.9×	69 1.8×	68 1.8×	27	801
Andreas Wieghaus Germany	6	413 1.0×	470 1.1×	37 0.8×	44 1.2×	38 1.0×	6	726
Andréia M. Porcari Brazil	13	225 0.5×	271 0.6×	104 2.3×	17 0.4×	68 1.8×	46	578
Kendra J. Adams United States	6	222 0.5×	264 0.6×	41 0.9×	20 0.5×	44 1.2×	8	500
Ricardo G. Cosso Brazil	11	137 0.3×	304 0.7×	92 2.0×	19 0.5×	77 2.0×	12	606

Countries citing papers authored by Shannon Eliuk

Since Specialization

Citations

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

Fields of papers citing papers by Shannon Eliuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon Eliuk. 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 Shannon Eliuk. The network helps show where Shannon Eliuk may publish in the future.

Co-authorship network of co-authors of Shannon Eliuk

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

All Works

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9 of 9 papers shown

Shliaha, Pavel V., Sebastian Gibb, Vladimir Gorshkov, et al.. (2018). Maximizing Sequence Coverage in Top-Down Proteomics By Automated Multimodal Gas-Phase Protein Fragmentation. Analytical Chemistry. 90(21). 12519–12526. 24 indexed citations

Hebert, Alexander S., Nicholas M. Riley, Nicholas W. Kwiecien, et al.. (2017). Improved Precursor Characterization for Data-Dependent Mass Spectrometry. Analytical Chemistry. 90(3). 2333–2340. 55 indexed citations

Eliuk, Shannon & Alexander Makarov. (2015). Evolution of Orbitrap Mass Spectrometry Instrumentation. Annual Review of Analytical Chemistry. 8(1). 61–80. 304 indexed citations

Senko, Michael W., Philip M. Remes, Jesse D. Canterbury, et al.. (2013). Novel Parallelized Quadrupole/Linear Ion Trap/Orbitrap Tribrid Mass Spectrometer Improving Proteome Coverage and Peptide Identification Rates. Analytical Chemistry. 85(24). 11710–11714. 181 indexed citations

Eliuk, Shannon, David Maltby, Barbara Panning, & Alma L. Burlingame. (2010). High Resolution Electron Transfer Dissociation Studies of Unfractionated Intact Histones from Murine Embryonic Stem Cells Using On-line Capillary LC Separation. Molecular & Cellular Proteomics. 9(5). 824–837. 31 indexed citations

Barnes, Stephen, et al.. (2008). High-resolution mass spectrometry analysis of protein oxidations and resultant loss of function. Biochemical Society Transactions. 36(5). 1037–1044. 21 indexed citations

Eliuk, Shannon, Michelle S. Johnson, Stephen Barnes, et al.. (2007). Inactivation of human liver bile acid CoA:amino acid N-acyltransferase by the electrophilic lipid, 4-hydroxynonenal. Journal of Lipid Research. 49(2). 282–294. 11 indexed citations

Kim, Helen, Shannon Eliuk, Jessy S. Deshane, et al.. (2007). 2D Gel Proteomics. Methods in molecular biology. 371. 349–391. 17 indexed citations

Eliuk, Shannon, et al.. (2007). Active Site Modifications of the Brain Isoform of Creatine Kinase by 4-Hydroxy-2-nonenal Correlate with Reduced Enzyme Activity: Mapping of Modified Sites by Fourier Transform-Ion Cyclotron Resonance Mass Spectrometry. Chemical Research in Toxicology. 20(9). 1260–1268. 33 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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