Shawna E. Wicks

652 citations
15 papers · 575 · h-index 12

Impact in

Papers in

    • Adipose Tissue and Metabolism 4
    • Lysosomal Storage Disorders Research 1
    • Nitric Oxide and Endothelin Effects 1
    • Metabolism, Diabetes, and Cancer 5
    • Peroxisome Proliferator-Activated Receptors 2
    • Redox biology and oxidative stress 2

Shawna E. Wicks

15 papers receiving 563 citations

Peers

Shawna E. Wicks
Comparison fields: 5 of 53
  • Aging 18
  • Physiology 111
  • Clinical Biochemistry 21
  • Molecular Biology 235
  • Drug Discovery 1
Replace Miki Tadaishi with:
Miki Tadaishi Japan
Yukino Hatazawa Japan
Meritxell Martin‐Garí Spain
Abdurrahman Fatih Aydin Türkiye
Anna Cassanyé Spain
Katiucha K.H.R. Rocha Brazil
Rita Rinnankoski‐Tuikka Finland
Donatella M. Casirola United States
Sue‐Mian Then Malaysia
Cheng Jun Jin Germany
Shawna E. Wicks relative to Miki Tadaishi Japan Miki Tadaishi's profile →
Citations per field
00.5×2×3×4.2×
Miki Tadaishi · 1×
Citations per year

Countries citing papers authored by Shawna E. Wicks

Since Specialization
Citations

This map shows the geographic impact of Shawna E. 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 E. 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 E. Wicks more than expected).

Fields of papers citing papers by Shawna E. Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shawna E. Wicks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shawna E. Wicks Line = papers co-authored together Shawna E. Wicks links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015149
2 2015112
3 201681
4 201354
5 201534
6 200828
7 201923
8 201421
9 201619
10 201216
11 201115
12 201712
13 20149
14 20141
15 20151

About Shawna E. Wicks

Shawna E. Wicks is a scholar working on Physiology, Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Aging, having authored 15 papers that have together received 575 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Metabolism and Genetic Disorders (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Redox biology and oxidative stress (2 papers), Lysosomal Storage Disorders Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Natural Antidiabetic Agents Studies (1 paper). The work is most often cited by research in Aging (18 citations), Physiology (111 citations), Clinical Biochemistry (21 citations), Molecular Biology (235 citations) and Drug Discovery (1 citation). Shawna E. Wicks has collaborated with scholars based in United States, Singapore and Türkiye. Frequent co-authors include Randall L. Mynatt, Bolormaa Vandanmagsar, Robert C. Noland, Jacqueline M. Stephens, Kimberly R. Haynie, Jaycob D. Warfel, Jingying Zhang, William T. Cefalu, Tugba Boyunegmez Tumer and Patricio Rojas‐Silva. Their work appears in journals such as Diabetes Obesity and Metabolism, Behavioural Brain Research, Journal of Biological Chemistry, Free Radical Biology and Medicine and Nutrition.

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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