Zhenping Ding

1.4k total citations
33 papers, 1.0k citations indexed

About

Zhenping Ding is a scholar working on Cell Biology, Physiology and Rehabilitation. According to data from OpenAlex, Zhenping Ding has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cell Biology, 16 papers in Physiology and 14 papers in Rehabilitation. Recurrent topics in Zhenping Ding's work include Muscle metabolism and nutrition (26 papers), Exercise and Physiological Responses (13 papers) and Adipose Tissue and Metabolism (12 papers). Zhenping Ding is often cited by papers focused on Muscle metabolism and nutrition (26 papers), Exercise and Physiological Responses (13 papers) and Adipose Tissue and Metabolism (12 papers). Zhenping Ding collaborates with scholars based in United States, Taiwan and United Kingdom. Zhenping Ding's co-authors include John L. Ivy, Jungyun Hwang, Jeffrey R. Bernard, Lynne Kammer, Bei Wang, Lisa Griffin, Yi-Hung Liao, Michael J. Decker, Katie Kitchen and Desmond Hunt and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Zhenping Ding

32 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenping Ding United States 17 591 389 338 253 164 33 1.0k
W J Kraemer United States 13 358 0.6× 223 0.6× 240 0.7× 400 1.6× 61 0.4× 19 1.0k
Owen Jeffries United Kingdom 21 361 0.6× 296 0.8× 371 1.1× 260 1.0× 265 1.6× 48 1.2k
David D. Church United States 22 466 0.8× 269 0.7× 557 1.6× 366 1.4× 185 1.1× 72 1.3k
Lucas Guimarães‐Ferreira Brazil 18 459 0.8× 173 0.4× 386 1.1× 183 0.7× 291 1.8× 49 1.1k
P. Geurten Netherlands 16 414 0.7× 356 0.9× 401 1.2× 568 2.2× 135 0.8× 25 1.3k
Tom Gwinn Australia 16 132 0.2× 151 0.4× 320 0.9× 544 2.2× 114 0.7× 27 1.2k
Andreo Fernando Aguiar Brazil 16 295 0.5× 164 0.4× 277 0.8× 231 0.9× 123 0.8× 78 804
Phillip G. Bell United Kingdom 12 365 0.6× 393 1.0× 295 0.9× 294 1.2× 226 1.4× 16 1.1k
Lars Rosendal Denmark 14 275 0.5× 213 0.5× 328 1.0× 344 1.4× 81 0.5× 15 1.4k
Toshinori Yoshihara Japan 18 302 0.5× 484 1.2× 593 1.8× 113 0.4× 563 3.4× 62 1.4k

Countries citing papers authored by Zhenping Ding

Since Specialization
Citations

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

Fields of papers citing papers by Zhenping Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenping Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenping Ding. A scholar is included among the top collaborators of Zhenping Ding 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 Zhenping Ding. Zhenping Ding 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
3.
Wang, Bei, Zhenping Ding, Wanyi Wang, et al.. (2015). The effect of an amino acid beverage on glucose response and glycogen replenishment after strenuous exercise. European Journal of Applied Physiology. 115(6). 1283–1294. 2 indexed citations
4.
Bernard, Jeffrey R., Yi-Hung Liao, Zhenping Ding, et al.. (2013). An amino acid mixture improves glucose tolerance and lowers insulin resistance in the obese Zucker rat. Amino Acids. 45(1). 191–203. 14 indexed citations
5.
Kammer, Lynne, et al.. (2012). Effect of an Energy Drink on Physical and Cognitive Performance in Trained Cyclists. 2(4). 167–175. 7 indexed citations
6.
Ferguson-Stegall, Lisa, Erin L. McCleave, Zhenping Ding, et al.. (2011). Postexercise Carbohydrate–Protein Supplementation Improves Subsequent Exercise Performance and Intracellular Signaling for Protein Synthesis. The Journal of Strength and Conditioning Research. 25(5). 1210–1224. 71 indexed citations
7.
McCleave, Erin L., Lisa Ferguson-Stegall, Zhenping Ding, et al.. (2011). A Low Carbohydrate–Protein Supplement Improves Endurance Performance in Female Athletes. The Journal of Strength and Conditioning Research. 25(4). 879–888. 19 indexed citations
9.
Ding, Zhenping, et al.. (2010). Added Protein Maintains Efficacy of a Low-Carbohydrate Sports Drink. The Journal of Strength and Conditioning Research. 24(1). 48–59. 29 indexed citations
10.
Ferguson-Stegall, Lisa, Erin L. McCleave, Zhenping Ding, et al.. (2010). The Effect of a Low Carbohydrate Beverage with Added Protein on Cycling Endurance Performance in Trained Athletes. The Journal of Strength and Conditioning Research. 24(10). 2577–2586. 24 indexed citations
11.
Ivy, John L., Lynne Kammer, Zhenping Ding, et al.. (2009). Improved Cycling Time-Trial Performance after Ingestion of a Caffeine Energy Drink. International Journal of Sport Nutrition and Exercise Metabolism. 19(1). 61–78. 115 indexed citations
12.
Griffin, Lisa, Michael J. Decker, Jungyun Hwang, et al.. (2008). Functional electrical stimulation cycling improves body composition, metabolic and neural factors in persons with spinal cord injury. Journal of Electromyography and Kinesiology. 19(4). 614–622. 185 indexed citations
13.
Morrison, P., et al.. (2008). Adding protein to a carbohydrate supplement provided after endurance exercise enhances 4E-BP1 and RPS6 signaling in skeletal muscle. Journal of Applied Physiology. 104(4). 1029–1036. 23 indexed citations
14.
Hwang, Hyonson, et al.. (2007). The Effect of a Carbohydrate and Protein Supplement on Resistance Exercise Performance, Hormonal Response, and Muscle Damage. The Journal of Strength and Conditioning Research. 21(2). 321–321. 70 indexed citations
15.
Ivy, John L., Zhenping Ding, Hyonseok Hwang, Lynn Cialdella‐Kam, & P. Morrison. (2007). Post exercise carbohydrate–protein supplementation: phosphorylation of muscle proteins involved in glycogen synthesis and protein translation. Amino Acids. 35(1). 89–97. 34 indexed citations
16.
Hwang, Hyonson, et al.. (2007). THE EFFECT OF A CARBOHYDRATE AND PROTEIN SUPPLEMENT ON RESISTANCE EXERCISE PERFORMANCE,HORMONAL RESPONSE, AND MUSCLE DAMAGE. The Journal of Strength and Conditioning Research. 21(2). 321–329. 16 indexed citations
17.
Fogt, Donovan L., Sukho Lee, Zhenping Ding, et al.. (2004). Effect of glycogen synthase overexpression on insulin-stimulated muscle glucose uptake and storage. American Journal of Physiology-Endocrinology and Metabolism. 286(3). E363–E369. 44 indexed citations
18.
Hunt, Desmond, Zhenping Ding, & John L. Ivy. (2002). Propranolol prevents epinephrine from limiting insulin-stimulated muscle glucose uptake during contraction. Journal of Applied Physiology. 93(2). 697–704. 7 indexed citations
19.
Hunt, Desmond, Zhenping Ding, & John L. Ivy. (2002). Clenbuterol prevents epinephrine from antagonizing insulin-stimulated muscle glucose uptake. Journal of Applied Physiology. 92(3). 1285–1292. 28 indexed citations
20.
Kuo, Chia‐Hua, Zhenping Ding, & John L. Ivy. (1996). Interaction of exercise training and clenbuterol on GLUT-4 protein in muscle of obese Zucker rats. American Journal of Physiology-Endocrinology and Metabolism. 271(5). E847–E854. 12 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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