Shawn D. Harmon

18 total papers · 972 total citations
17 papers, 822 citations indexed

About

Shawn D. Harmon is a scholar working on Biochemistry, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Shawn D. Harmon has authored 17 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biochemistry, 9 papers in Molecular Biology and 6 papers in Nutrition and Dietetics. Recurrent topics in Shawn D. Harmon's work include Eicosanoids and Hypertension Pharmacology (11 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Fatty Acid Research and Health (6 papers). Shawn D. Harmon is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (11 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Fatty Acid Research and Health (6 papers). Shawn D. Harmon collaborates with scholars based in United States and France. Shawn D. Harmon's co-authors include Arthur A. Spector, Terry L. Kaduce, Neal L. Weintraub, Xiang Fang, Bruce D. Hammock, Shanming Hu, Deborah E. Williard, John R. Falck, Lynn M. Teesch and Christophe Morisseau and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Journal of Lipid Research.

In The Last Decade

Shawn D. Harmon

17 papers receiving 799 citations

Author Peers

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

Author Last Decade Papers Cites
Shawn D. Harmon 600 299 223 206 194 17 822
M VanRollins 629 1.0× 303 1.0× 289 1.3× 128 0.6× 234 1.2× 15 1.0k
Marija Marković 480 0.8× 219 0.7× 201 0.9× 158 0.8× 209 1.1× 28 822
Vijay L. Manthati 560 0.9× 297 1.0× 213 1.0× 203 1.0× 61 0.3× 16 839
Christine Hegedus 478 0.8× 162 0.5× 137 0.6× 257 1.2× 164 0.8× 11 863
Yangmei Deng 356 0.6× 197 0.7× 230 1.0× 130 0.6× 67 0.3× 23 927
Caroline Morin 377 0.6× 131 0.4× 249 1.1× 98 0.5× 286 1.5× 34 939
J Olearczyk 336 0.6× 283 0.9× 156 0.7× 135 0.7× 51 0.3× 13 772
Shan Leng 423 0.7× 68 0.2× 225 1.0× 146 0.7× 410 2.1× 12 900
Ketul R. Chaudhary 414 0.7× 230 0.8× 176 0.8× 181 0.9× 28 0.1× 21 833
Kimberly M. Hoagland 234 0.4× 414 1.4× 227 1.0× 62 0.3× 59 0.3× 16 733

Countries citing papers authored by Shawn D. Harmon

Since Specialization
Citations

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

Fields of papers citing papers by Shawn D. Harmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn D. Harmon. 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 Shawn D. Harmon. The network helps show where Shawn D. Harmon may publish in the future.

Co-authorship network of co-authors of Shawn D. Harmon

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn D. Harmon. A scholar is included among the top collaborators of Shawn D. Harmon 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 Shawn D. Harmon. Shawn D. Harmon 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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