Kevin A. Voelker

1.2k total citations
16 papers, 920 citations indexed

About

Kevin A. Voelker is a scholar working on Molecular Biology, Rehabilitation and Physiology. According to data from OpenAlex, Kevin A. Voelker has authored 16 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Rehabilitation and 5 papers in Physiology. Recurrent topics in Kevin A. Voelker's work include Muscle Physiology and Disorders (8 papers), Exercise and Physiological Responses (7 papers) and Adipose Tissue and Metabolism (5 papers). Kevin A. Voelker is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Exercise and Physiological Responses (7 papers) and Adipose Tissue and Metabolism (5 papers). Kevin A. Voelker collaborates with scholars based in United States, Australia and Iran. Kevin A. Voelker's co-authors include Robert W. Grange, Matthew W. Hulver, Ryan P. McMillan, Rhonda Bassel‐Duby, Eric N. Olson, Yaru Wu, Madlyn I. Frisard, Daniel Quiat, Nick V. Grishin and Hinnak Northoff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The FASEB Journal.

In The Last Decade

Kevin A. Voelker

16 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin A. Voelker United States	13	604	295	161	161	110	16	920
Rosa Loffredo Brazil	17	264 0.4×	226 0.8×	223 1.4×	228 1.4×	84 0.8×	31	846
Lucile Dollet Sweden	14	568 0.9×	519 1.8×	84 0.5×	154 1.0×	67 0.6×	16	1.0k
Randall F. D’Souza New Zealand	21	642 1.1×	484 1.6×	150 0.9×	336 2.1×	215 2.0×	48	1.2k
Frank W. Booth United States	12	502 0.8×	319 1.1×	117 0.7×	185 1.1×	28 0.3×	17	847
Sarah M. Senf United States	11	941 1.6×	466 1.6×	355 2.2×	265 1.6×	44 0.4×	14	1.2k
Nina Zeng New Zealand	16	409 0.7×	320 1.1×	74 0.5×	212 1.3×	168 1.5×	39	815
Thomas J. McLoughlin United States	14	586 1.0×	278 0.9×	231 1.4×	208 1.3×	23 0.2×	22	896
Marcia J. Abbott United States	14	559 0.9×	683 2.3×	87 0.5×	122 0.8×	94 0.9×	26	1.2k
Lubna Al‐Khalili Sweden	19	951 1.6×	625 2.1×	102 0.6×	206 1.3×	99 0.9×	31	1.4k
Hans P.M.M. Lauritzen United States	15	601 1.0×	502 1.7×	92 0.6×	178 1.1×	50 0.5×	17	998

Countries citing papers authored by Kevin A. Voelker

Since Specialization

Citations

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

Fields of papers citing papers by Kevin A. Voelker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin A. Voelker. 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 Kevin A. Voelker. The network helps show where Kevin A. Voelker may publish in the future.

Co-authorship network of co-authors of Kevin A. Voelker

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

All Works

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16 of 16 papers shown

McMillan, Ryan P., Yaru Wu, Kevin A. Voelker, et al.. (2015). Selective overexpression of Toll-like receptor-4 in skeletal muscle impairs metabolic adaptation to high-fat feeding. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 309(3). R304–R313. 13 indexed citations

Frisard, Madlyn I., Yaru Wu, Ryan P. McMillan, et al.. (2014). Low Levels of Lipopolysaccharide Modulate Mitochondrial Oxygen Consumption in Skeletal Muscle. Metabolism. 64(3). 416–427. 43 indexed citations

Shi, Xiaozhong, Robert D. Gerard, Kevin A. Voelker, et al.. (2012). Foxk1 promotes cell proliferation and represses myogenic differentiation by regulating Foxo4 and Mef2 factors. Journal of Cell Science. 125(Pt 22). 5329–37. 57 indexed citations

Si, Hongwei, Zhuo Fu, Pon Velayutham Anandh Babu, et al.. (2011). Dietary Epicatechin Promotes Survival of Obese Diabetic Mice and Drosophila melanogaster. Journal of Nutrition. 141(6). 1095–1100. 84 indexed citations

Davoodi, Jamshid, Chad D. Markert, Kevin A. Voelker, S.M. Hutson, & Robert W. Grange. (2011). Nutrition Strategies to Improve Physical Capabilities in Duchenne Muscular Dystrophy. Physical Medicine and Rehabilitation Clinics of North America. 23(1). 187–199. 11 indexed citations

Liu, Ning, Svetlana Bezprozvannaya, John M. Shelton, et al.. (2011). Mice lacking microRNA 133a develop dynamin 2–dependent centronuclear myopathy. Journal of Clinical Investigation. 121(8). 3258–3268. 127 indexed citations

Quiat, Daniel, Kevin A. Voelker, Jimin Pei, et al.. (2011). Concerted regulation of myofiber-specific gene expression and muscle performance by the transcriptional repressor Sox6. Proceedings of the National Academy of Sciences. 108(25). 10196–10201. 124 indexed citations

Wu, Yaru, et al.. (2011). The role of toll‐like receptor 4 in mitochondrial function and reactive oxygen species (ROS) production in skeletal muscle. The FASEB Journal. 25(S1). 1 indexed citations

Markert, Chad D., Mary Pat Meaney, Kevin A. Voelker, et al.. (2010). Functional muscle analysis of the Tcap knockout mouse. Human Molecular Genetics. 19(11). 2268–2283. 40 indexed citations

10.

Frisard, Madlyn I., Ryan P. McMillan, Yaru Wu, et al.. (2010). Toll-like receptor 4 modulates skeletal muscle substrate metabolism. American Journal of Physiology-Endocrinology and Metabolism. 298(5). E988–E998. 121 indexed citations

11.

Alexander, Matthew S., Xiaozhong Shi, Kevin A. Voelker, et al.. (2009). Foxj3 transcriptionally activates Mef2c and regulates adult skeletal muscle fiber type identity. Developmental Biology. 337(2). 396–404. 34 indexed citations

12.

Hartig, Sean M., Shuhei Ishikura, Rachel Hicklen, et al.. (2009). The F-BAR protein CIP4 promotes GLUT4 endocytosis through bidirectional interactions with N-WASp and Dynamin-2. Journal of Cell Science. 122(13). 2283–2291. 51 indexed citations

13.

Call, Jarrod A., Kevin A. Voelker, Ryan P. McMillan, et al.. (2008). Endurance capacity in maturing mdx mice is markedly enhanced by combined voluntary wheel running and green tea extract. Journal of Applied Physiology. 105(3). 923–932. 81 indexed citations

14.

Voelker, Kevin A., et al.. (2006). Passive mechanical properties of maturing extensor digitorum longus are not affected by lack of dystrophin. Muscle & Nerve. 34(3). 304–312. 40 indexed citations

15.

Fehrenbach, Elvira, Andreas M. Nieß, Kevin A. Voelker, Hinnak Northoff, & Frank C. Mooren. (2005). Exercise Intensity and Duration Affect Blood Soluble HSP72. International Journal of Sports Medicine. 26(7). 552–557. 92 indexed citations

16.

Kliegman, Robert M., et al.. (1988). Allocation of systemic glucose output to cerebral utilization as a function of fetal canine growth. American Journal of Physiology-Endocrinology and Metabolism. 254(5). E579–E587. 1 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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