Shannon E. Campbell

833 total citations
9 papers, 669 citations indexed

About

Shannon E. Campbell is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Shannon E. Campbell has authored 9 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Shannon E. Campbell's work include Metabolism and Genetic Disorders (3 papers), Laser Applications in Dentistry and Medicine (3 papers) and Mitochondrial Function and Pathology (2 papers). Shannon E. Campbell is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Laser Applications in Dentistry and Medicine (3 papers) and Mitochondrial Function and Pathology (2 papers). Shannon E. Campbell collaborates with scholars based in Canada, United States and Australia. Shannon E. Campbell's co-authors include Arend Bonen, Jan F. C. Glatz, Joost J.F.P. Luiken, Mark A. Febbraio, Narendra N. Tandon, Gebretateos Woldegiorgis, Damien J. Angus, Andrew Garnham, Carley R. Benton and Susan L. Coort and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Shannon E. Campbell

8 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shannon E. Campbell Canada 7 358 264 235 70 57 9 669
ZengKui Guo United States 11 510 1.4× 237 0.9× 223 0.9× 200 2.9× 38 0.7× 18 829
Min Jae Jeon South Korea 5 417 1.2× 465 1.8× 75 0.3× 244 3.5× 31 0.5× 6 826
David J. Pedersen Australia 12 379 1.1× 277 1.0× 173 0.7× 245 3.5× 66 1.2× 14 794
Patrick J. Ferrara United States 14 222 0.6× 248 0.9× 77 0.3× 45 0.6× 57 1.0× 27 427
Salman Azhar United States 13 256 0.7× 359 1.4× 304 1.3× 49 0.7× 27 0.5× 21 766
Michal K. Handzlik United States 13 204 0.6× 285 1.1× 115 0.5× 37 0.5× 122 2.1× 19 660
José M. Irimia United States 15 288 0.8× 268 1.0× 113 0.5× 140 2.0× 27 0.5× 24 747
Olasunkanmi A. J. Adegoke Canada 14 339 0.9× 480 1.8× 224 1.0× 71 1.0× 28 0.5× 31 787
Pierre-Marie Badin France 11 386 1.1× 211 0.8× 155 0.7× 86 1.2× 30 0.5× 11 588
Andreas B. Jordy Denmark 13 408 1.1× 300 1.1× 99 0.4× 127 1.8× 24 0.4× 15 663

Countries citing papers authored by Shannon E. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Shannon E. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon E. Campbell

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

All Works

9 of 9 papers shown
1.
Jaworska, Joanna, et al.. (2020). Fluorescent light energy in wound healing: when is a photon something more?. Research at the University of Copenhagen (University of Copenhagen). 9–9. 3 indexed citations
2.
Ferroni, Letizia, Simone Patergnani, Shannon E. Campbell, et al.. (2020). Fluorescent Light Energy (FLE) Acts on Mitochondrial Physiology Improving Wound Healing. Journal of Clinical Medicine. 9(2). 559–559. 19 indexed citations
3.
Scapagnini, Giovanni, Andrea Marchegiani, Giacomo Rossi, et al.. (2019). Management of all three phases of wound healing through the induction of fluorescence biomodulation using fluorescence light energy. Unicam Scientific Publications (University of Camerino). 31–31. 22 indexed citations
5.
Benton, Carley R., Shannon E. Campbell, Mio Tonouchi, Hideo Hatta, & Arend Bonen. (2004). Monocarboxylate transporters in subsarcolemmal and intermyofibrillar mitochondria. Biochemical and Biophysical Research Communications. 323(1). 249–253. 60 indexed citations
6.
Campbell, Shannon E., Narendra N. Tandon, Gebretateos Woldegiorgis, et al.. (2004). A Novel Function for Fatty Acid Translocase (FAT)/CD36. Journal of Biological Chemistry. 279(35). 36235–36241. 212 indexed citations
7.
Bonen, Arend, Shannon E. Campbell, Carley R. Benton, et al.. (2004). Regulation of fatty acid transport by fatty acid translocase/CD36. Proceedings of The Nutrition Society. 63(2). 245–249. 155 indexed citations
8.
Campbell, Shannon E. & Mark A. Febbraio. (2001). Effects of ovarian hormones on exercise metabolism. Current Opinion in Clinical Nutrition & Metabolic Care. 4(6). 515–520. 39 indexed citations
9.
Febbraio, Mark A., et al.. (2000). Preexercise carbohydrate ingestion, glucose kinetics, and muscle glycogen use: effect of the glycemic index. Journal of Applied Physiology. 89(5). 1845–1851. 159 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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