Desiree Wanders

2.5k total citations
46 papers, 1.9k citations indexed

About

Desiree Wanders is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Desiree Wanders has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 20 papers in Physiology and 11 papers in Epidemiology. Recurrent topics in Desiree Wanders's work include Adipose Tissue and Metabolism (19 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Fibroblast Growth Factor Research (10 papers). Desiree Wanders is often cited by papers focused on Adipose Tissue and Metabolism (19 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Fibroblast Growth Factor Research (10 papers). Desiree Wanders collaborates with scholars based in United States, Singapore and Australia. Desiree Wanders's co-authors include Thomas W. Gettys, Kirsten P. Stone, Robert L. Judd, Emily C. Graff, Cory C. Cortez, Laura A. Forney, Han Fang, Xiangming Ji, Sujoy Ghosh and David H. Burk and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Diabetes.

In The Last Decade

Desiree Wanders

44 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Desiree Wanders United States 25 887 783 235 209 194 46 1.9k
Shigeru Saeki Japan 21 611 0.7× 376 0.5× 178 0.8× 109 0.5× 198 1.0× 80 1.8k
Christiane Ott Germany 21 707 0.8× 503 0.6× 284 1.2× 34 0.2× 288 1.5× 54 2.2k
Federica Gilardi Switzerland 27 972 1.1× 470 0.6× 306 1.3× 78 0.4× 56 0.3× 59 1.9k
Katie C. Coate United States 17 1.1k 1.2× 636 0.8× 338 1.4× 70 0.3× 67 0.3× 37 2.1k
Huiyun Liang United States 15 940 1.1× 653 0.8× 254 1.1× 64 0.3× 134 0.7× 31 1.7k
Jaya T. Venkatraman United States 23 415 0.5× 534 0.7× 127 0.5× 61 0.3× 269 1.4× 54 1.8k
Feifan Guo China 29 1.2k 1.3× 654 0.8× 488 2.1× 59 0.3× 377 1.9× 53 2.4k
Fude Fang China 26 1.6k 1.8× 796 1.0× 557 2.4× 75 0.4× 202 1.0× 79 2.9k
Jelske N. van der Veen Canada 22 1.1k 1.3× 479 0.6× 599 2.5× 78 0.4× 151 0.8× 31 2.4k
Barbara C. Fam Australia 23 1.0k 1.2× 954 1.2× 539 2.3× 77 0.4× 164 0.8× 32 2.4k

Countries citing papers authored by Desiree Wanders

Since Specialization
Citations

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

Fields of papers citing papers by Desiree Wanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Desiree Wanders

This figure shows the co-authorship network connecting the top 25 collaborators of Desiree Wanders. A scholar is included among the top collaborators of Desiree Wanders 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 Desiree Wanders. Desiree Wanders 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
1.
Najjar, Rami, Yanling Wang, Vu L. Ngo, et al.. (2025). Prevention and Reversal of Hypertension‐Induced Coronary Microvascular Dysfunction by a Plant‐Based Diet. Journal of the American Heart Association. 14(22). e045515–e045515.
2.
Mowa, Chishimba Nathan, et al.. (2024). Moringa oleifera improves skeletal muscle metabolism and running performance in mice. South African Journal of Botany. 170. 61–70.
3.
Mabb, Angela M., et al.. (2023). Effects of Dietary Methionine Restriction on Cognition in Mice. Nutrients. 15(23). 4950–4950. 13 indexed citations
4.
George, Arlene J., Bin Dong, Ning Fang, et al.. (2022). The E3 ubiquitin ligase RNF216/TRIAD3 is a key coordinator of the hypothalamic-pituitary-gonadal axis. iScience. 25(6). 104386–104386. 3 indexed citations
5.
6.
Najjar, Rami, et al.. (2022). Raspberry and blackberry act in a synergistic manner to improve cardiac redox proteins and reduce NF-κB and SAPK/JNK in mice fed a high-fat, high-sucrose diet. Nutrition Metabolism and Cardiovascular Diseases. 32(7). 1784–1796. 11 indexed citations
7.
8.
Hill, Cristal M., Thomas Laeger, Diana C. Albarado, et al.. (2019). FGF21 Signals Protein Status to the Brain and Adaptively Regulates Food Choice and Metabolism. Cell Reports. 27(10). 2934–2947.e3. 163 indexed citations
9.
Shen, Chwan‐Li, Gurvinder Kaur, Desiree Wanders, et al.. (2018). Annatto-extracted tocotrienols improve glucose homeostasis and bone properties in high-fat diet-induced type 2 diabetic mice by decreasing the inflammatory response. Scientific Reports. 8(1). 11377–11377. 35 indexed citations
10.
Ghosh, Sujoy, Laura A. Forney, Desiree Wanders, Kirsten P. Stone, & Thomas W. Gettys. (2017). An integrative analysis of tissue-specific transcriptomic and metabolomic responses to short-term dietary methionine restriction in mice. PLoS ONE. 12(5). e0177513–e0177513. 32 indexed citations
11.
Forney, Laura A., Kirsten P. Stone, Desiree Wanders, & Thomas W. Gettys. (2017). Sensing and signaling mechanisms linking dietary methionine restriction to the behavioral and physiological components of the response. Frontiers in Neuroendocrinology. 51. 36–45. 21 indexed citations
12.
Wang, Lili, Desiree Wanders, Gayani Nanayakkara, et al.. (2015). Adiponectin downregulation is associated with volume overload-induced myocyte dysfunction in rats. Acta Pharmacologica Sinica. 37(2). 187–195. 11 indexed citations
13.
Graff, Emily C., Han Fang, Desiree Wanders, & Robert L. Judd. (2015). Anti-inflammatory effects of the hydroxycarboxylic acid receptor 2. Metabolism. 65(2). 102–113. 139 indexed citations
14.
Stone, Kirsten P., et al.. (2014). The Impact of Dietary Methionine Restriction on Biomarkers of Metabolic Health. Progress in molecular biology and translational science. 121. 351–376. 87 indexed citations
15.
Nanjappa, Manjunatha K., Manuj Ahuja, Muralikrishnan Dhanasekaran, et al.. (2014). Bisphenol A regulation of testicular endocrine function in male rats is affected by diet. Toxicology Letters. 225(3). 479–487. 8 indexed citations
16.
Hasek, Barbara E., Anik Boudreau, Jeho Shin, et al.. (2013). Remodeling the Integration of Lipid Metabolism Between Liver and Adipose Tissue by Dietary Methionine Restriction in Rats. Diabetes. 62(10). 3362–3372. 96 indexed citations
17.
Wanders, Desiree, Emily C. Graff, B. White, & Robert L. Judd. (2013). Niacin Increases Adiponectin and Decreases Adipose Tissue Inflammation in High Fat Diet-Fed Mice. PLoS ONE. 8(8). e71285–e71285. 64 indexed citations
18.
Wanders, Desiree, Eric P. Plaisance, & Robert L. Judd. (2012). Lipid-Lowering Drugs and Circulating Adiponectin. Vitamins and hormones. 90. 341–374. 11 indexed citations
19.
Nanjappa, Manjunatha K., Elaine S. Coleman, Mahmoud Mansour, et al.. (2011). Regulation of adiponectin secretion by soy isoflavones has implication for endocrine function of the testis. Toxicology Letters. 209(1). 78–85. 37 indexed citations
20.
Wanders, Desiree & Robert L. Judd. (2011). Future of GPR109A agonists in the treatment of dyslipidaemia. Diabetes Obesity and Metabolism. 13(8). 685–691. 30 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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