Shannon Eliuk

11 total papers · 1.0k total citations
9 papers, 674 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 674 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 Czechia. Shannon Eliuk's co-authors include Alexander Makarov, Vlad Zabrouskov, Stephen Barnes, Michael W. Senko, Huy Anh Bui, Oliver Lange, Stevan Horning, Qingyu Song, Eduard Denisov and Philip M. Remes 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 664 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shannon Eliuk 422 421 45 38 37 9 674
Omar Belgacem 372 0.9× 331 0.8× 33 0.7× 30 0.8× 37 1.0× 23 602
Reinaldo Almeida 512 1.2× 363 0.9× 62 1.4× 57 1.5× 32 0.9× 15 730
Jochen Franzen 347 0.8× 323 0.8× 41 0.9× 33 0.9× 33 0.9× 13 692
Sabine Reichl 513 1.2× 351 0.8× 39 0.9× 57 1.5× 19 0.5× 10 775
Stephanie Kaspar 448 1.1× 283 0.7× 31 0.7× 24 0.6× 20 0.5× 11 700
Jie Sui 275 0.7× 233 0.6× 71 1.6× 18 0.5× 77 2.1× 8 642
David Pirman 423 1.0× 295 0.7× 36 0.8× 16 0.4× 28 0.8× 18 743
Maciej Bromirski 308 0.7× 359 0.9× 35 0.8× 17 0.4× 48 1.3× 11 640
Andreas Wieghaus 469 1.1× 411 1.0× 37 0.8× 44 1.2× 38 1.0× 6 724
Ricardo G. Cosso 304 0.7× 137 0.3× 93 2.1× 19 0.5× 77 2.1× 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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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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