Shawna Wicks

21 total papers · 636 total citations
14 papers, 521 citations indexed

About

Shawna Wicks is a scholar working on Physiology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Shawna Wicks has authored 14 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 7 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Shawna Wicks's work include Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (4 papers) and Metabolism and Genetic Disorders (3 papers). Shawna Wicks is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (4 papers) and Metabolism and Genetic Disorders (3 papers). Shawna Wicks collaborates with scholars based in United States, Singapore and Canada. Shawna Wicks's co-authors include Randall L. Mynatt, Bolormaa Vandanmagsar, Jacqueline M. Stephens, Robert C. Noland, Kimberly R. Haynie, Jingying Zhang, William T. Cefalu, Zhong Wang, Tugba Boyunegmez Tumer and Peter Kühn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Shawna Wicks

14 papers receiving 515 citations

Author Peers

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

Author Last Decade Papers Cites
Shawna Wicks 270 185 115 61 51 14 521
Alfred Ajami 160 0.6× 125 0.7× 111 1.0× 45 0.7× 38 0.7× 14 580
Ling Qu 206 0.8× 142 0.8× 80 0.7× 78 1.3× 33 0.6× 35 565
Cheng-Ying Ho 289 1.1× 150 0.8× 67 0.6× 48 0.8× 42 0.8× 11 619
Wang Li 202 0.7× 96 0.5× 107 0.9× 97 1.6× 32 0.6× 18 482
Diana Barrera‐Oviedo 228 0.8× 95 0.5× 49 0.4× 43 0.7× 19 0.4× 22 558
Donghai Liu 204 0.8× 81 0.4× 118 1.0× 66 1.1× 12 0.2× 16 567
R.A. Salvador 156 0.6× 96 0.5× 49 0.4× 42 0.7× 28 0.5× 23 547
Pierre Watcho 151 0.6× 199 1.1× 58 0.5× 48 0.8× 102 2.0× 19 602
Xinbo Zhou 309 1.1× 169 0.9× 34 0.3× 83 1.4× 41 0.8× 21 514
Tingting Wu 228 0.8× 75 0.4× 76 0.7× 65 1.1× 60 1.2× 32 575

Countries citing papers authored by Shawna Wicks

Since Specialization
Citations

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

Fields of papers citing papers by Shawna Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawna Wicks

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