Joseph J. Wakshlag

3.7k total citations
128 papers, 2.6k citations indexed

About

Joseph J. Wakshlag is a scholar working on Small Animals, Pharmacology and Molecular Biology. According to data from OpenAlex, Joseph J. Wakshlag has authored 128 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Small Animals, 29 papers in Pharmacology and 23 papers in Molecular Biology. Recurrent topics in Joseph J. Wakshlag's work include Cannabis and Cannabinoid Research (24 papers), Muscle metabolism and nutrition (18 papers) and Exercise and Physiological Responses (14 papers). Joseph J. Wakshlag is often cited by papers focused on Cannabis and Cannabinoid Research (24 papers), Muscle metabolism and nutrition (18 papers) and Exercise and Physiological Responses (14 papers). Joseph J. Wakshlag collaborates with scholars based in United States, China and Canada. Joseph J. Wakshlag's co-authors include Sabine Mann, Wayne S. Schwark, John P. Loftus, Christopher W. Frye, Francisco A. Leal Yepes, D.V. Nydam, T.R. Overton, Corri B. Levine, Roschelle Heuberger and Lauri-Jo Gamble and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Joseph J. Wakshlag

123 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph J. Wakshlag United States 28 568 549 515 443 326 128 2.6k
Orlando Paciello Italy 30 202 0.4× 143 0.3× 360 0.7× 1.3k 3.0× 421 1.3× 171 3.2k
Dennis E. Jewell United States 29 949 1.7× 112 0.2× 386 0.7× 801 1.8× 195 0.6× 128 3.1k
Andrzej Madej Sweden 31 858 1.5× 149 0.3× 597 1.2× 440 1.0× 78 0.2× 163 3.3k
G. D. Bottoms United States 23 508 0.9× 266 0.5× 271 0.5× 221 0.5× 273 0.8× 78 1.8k
María Elena Trujillo Ortega Mexico 32 871 1.5× 176 0.3× 517 1.0× 881 2.0× 343 1.1× 105 5.8k
Monica Forni Italy 28 166 0.3× 177 0.3× 799 1.6× 1.1k 2.5× 148 0.5× 140 2.6k
Didier Serteyn Belgium 28 360 0.6× 148 0.3× 161 0.3× 342 0.8× 82 0.3× 180 2.4k
Jonathan N. King Switzerland 28 971 1.7× 645 1.2× 229 0.4× 127 0.3× 147 0.5× 84 2.0k
Michael G. Hayek United States 27 162 0.3× 154 0.3× 207 0.4× 499 1.1× 139 0.4× 46 2.0k
Koumei Shirasuna Japan 37 163 0.3× 96 0.2× 589 1.1× 1.4k 3.2× 202 0.6× 164 4.2k

Countries citing papers authored by Joseph J. Wakshlag

Since Specialization
Citations

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

Fields of papers citing papers by Joseph J. Wakshlag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph J. Wakshlag. 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 Joseph J. Wakshlag. The network helps show where Joseph J. Wakshlag may publish in the future.

Co-authorship network of co-authors of Joseph J. Wakshlag

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

All Works

20 of 20 papers shown
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Wang, Tongxin, Joseph J. Wakshlag, Alex Lyubimov, et al.. (2025). Limited 12-hour pharmacokinetic assessment of CBD and CBDA isolates compared to their full-spectrum extracts in healthy adult beagles. Frontiers in Veterinary Science. 12. 1639846–1639846.
3.
Yamka, Ryan M., et al.. (2025). Serum Metabolomics of Senior Dogs Fed a Fresh, Human-Grade Food or an Extruded Kibble Diet. Metabolites. 15(10). 676–676. 1 indexed citations
4.
Kim, Hyun-Tae & Joseph J. Wakshlag. (2023). Nutrition and Theriogenology. Veterinary Clinics of North America Small Animal Practice. 53(5). 1083–1098. 2 indexed citations
5.
6.
Simpson, Kenneth W., et al.. (2023). Randomized controlled trial of hydrolyzed fish diets in dogs with chronic enteropathy. Journal of Veterinary Internal Medicine. 37(6). 2334–2343. 9 indexed citations
7.
Carrera‐Justiz, Sheila, et al.. (2022). Safety and efficacy of cannabidiol-cannabidiolic acid rich hemp extract in the treatment of refractory epileptic seizures in dogs. Frontiers in Veterinary Science. 9. 939966–939966. 23 indexed citations
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Levine, Corri B., J Bayle, Vincent Biourge, & Joseph J. Wakshlag. (2017). Cellular effects of a turmeric root and rosemary leaf extract on canine neoplastic cell lines. BMC Veterinary Research. 13(1). 388–388. 23 indexed citations
10.
Looney, Andrea L. & Joseph J. Wakshlag. (2017). Dietary Management of Hyperthyroidism in a Dog. Journal of the American Animal Hospital Association. 53(2). 111–118. 3 indexed citations
11.
Mann, Sabine, Ángel Abuelo, D.V. Nydam, et al.. (2016). Insulin signaling and skeletal muscle atrophy and autophagy in transition dairy cows either overfed energy or fed a controlled energy diet prepartum. Journal of Comparative Physiology B. 186(4). 513–525. 39 indexed citations
12.
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Frye, Christopher W., et al.. (2016). Insulin-Like Growth Factor-1 and Selected Insulin-Like Growth Factor Binding Protein Concentrations during an Ultramarathon Sled Dog Race. The Scientific World JOURNAL. 2016. 1–5. 2 indexed citations
14.
Mann, Sabine, et al.. (2015). Increasing body condition score is positively associated interleukin-6 and monocyte chemoattractant protein-1 in Labrador retrievers. Veterinary Immunology and Immunopathology. 167(3-4). 104–109. 30 indexed citations
15.
McElwee, John L., Sunish Mohanan, Sachi Horibata, et al.. (2014). PAD2 Overexpression in Transgenic Mice Promotes Spontaneous Skin Neoplasia. Cancer Research. 74(21). 6306–6317. 32 indexed citations
16.
Mann, Sabine, et al.. (2014). Evaluation of a performance enhancing supplement in American Foxhounds during eventing. Journal of Nutritional Science. 3. e24–e24. 10 indexed citations
17.
Stadler, Sonja C., C. Vincent, V D Fedorov, et al.. (2013). Correction for Stadler et al., Dysregulation of PAD4-mediated citrullination of nuclear GSK3β activates TGF-β signaling and induces epithelial-to-mesenchymal transition in breast cancer cells. Proceedings of the National Academy of Sciences. 110(40). 16283–16283. 3 indexed citations
18.
Wakshlag, Joseph J., et al.. (2012). Evaluation of dietary energy intake and physical activity in dogs undergoing a controlled weight-loss program. Journal of the American Veterinary Medical Association. 240(4). 413–419. 24 indexed citations
19.
Wakshlag, Joseph J., et al.. (2010). Evaluation of exercise-induced changes in concentrations of C-reactive protein and serum biochemical values in sled dogs completing a long-distance endurance race. American Journal of Veterinary Research. 71(10). 1207–1213. 36 indexed citations
20.
Antonyak, Marc A., Jaclyn M. Jansen, Jason E. Boehm, et al.. (2004). Augmentation of Tissue Transglutaminase Expression and Activation by Epidermal Growth Factor Inhibit Doxorubicin-induced Apoptosis in Human Breast Cancer Cells. Journal of Biological Chemistry. 279(40). 41461–41467. 99 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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