David L. Mayhew

2.3k total citations
22 papers, 1.6k citations indexed

About

David L. Mayhew is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, David L. Mayhew has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in David L. Mayhew's work include Muscle Physiology and Disorders (9 papers), Muscle metabolism and nutrition (9 papers) and Knee injuries and reconstruction techniques (3 papers). David L. Mayhew is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Muscle metabolism and nutrition (9 papers) and Knee injuries and reconstruction techniques (3 papers). David L. Mayhew collaborates with scholars based in United States, Germany and Switzerland. David L. Mayhew's co-authors include Marcas M. Bamman, James M. Cross, Jeong-su Kim, John K. Petrella, Troy A. Hornberger, Craig A. Goodman, Arny A. Ferrando, Michael J. Stec, Alexander J. Koch and John P. Thyfault and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Radiology.

In The Last Decade

David L. Mayhew

22 papers receiving 1.5k citations

Peers

David L. Mayhew
Martine de Boer Netherlands
Anna Shcherbina United States
Ieuan Clay Switzerland
Fang‐Chi Hsu United States
Audrey S. Wang United States
Ann B. Vernallis United Kingdom
David L. Mayhew
Citations per year, relative to David L. Mayhew David L. Mayhew (= 1×) peers Jonathan D. Bartlett

Countries citing papers authored by David L. Mayhew

Since Specialization
Citations

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

Fields of papers citing papers by David L. Mayhew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Mayhew. 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 David L. Mayhew. The network helps show where David L. Mayhew may publish in the future.

Co-authorship network of co-authors of David L. Mayhew

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Mayhew. A scholar is included among the top collaborators of David L. Mayhew 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 David L. Mayhew. David L. Mayhew 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.
Blitzer, Grace C., Akash D. Parekh, Shuai Chen, et al.. (2021). Why an Increasing Number of Unmatched Residency Positions in Radiation Oncology? A Survey of Fourth-Year Medical Students. Advances in Radiation Oncology. 6(5). 100743–100743. 7 indexed citations
2.
Richter, Camden, David L. Mayhew, Jonathan Rennhack, et al.. (2020). Genomic Amplification and Functional Dependency of the Gamma Actin Gene ACTG1 in Uterine Cancer. International Journal of Molecular Sciences. 21(22). 8690–8690. 14 indexed citations
3.
Roberts, Brandon M., Kaleen M. Lavin, Gina M. Many, et al.. (2018). Human neuromuscular aging: Sex differences revealed at the myocellular level. Experimental Gerontology. 106. 116–124. 73 indexed citations
4.
Ramirez‐Fort, Marigdalia K., Jianying Zeng, Amir Feily, et al.. (2017). Radiotherapy-induced reactivation of neurotrophic human herpes viruses: Overview and management. Journal of Clinical Virology. 98. 18–27. 18 indexed citations
5.
Stec, Michael J., Anna Thalacker‐Mercer, David L. Mayhew, et al.. (2017). Randomized, four-arm, dose-response clinical trial to optimize resistance exercise training for older adults with age-related muscle atrophy. Experimental Gerontology. 99. 98–109. 68 indexed citations
6.
McDonald, Andrew M., Thomas A. Swain, David L. Mayhew, et al.. (2016). CT Measures of Bone Mineral Density and Muscle Mass Can Be Used to Predict Noncancer Death in Men with Prostate Cancer. Radiology. 282(2). 475–483. 31 indexed citations
7.
McDonald, Andrew M., et al.. (2016). Combining Computed Tomography-Based Bone Density Assessment with FRAX Screening in Men with Prostate Cancer. Journal of Clinical Densitometry. 19(4). 430–435. 7 indexed citations
8.
Stec, Michael J., David L. Mayhew, & Marcas M. Bamman. (2015). The effects of age and resistance loading on skeletal muscle ribosome biogenesis. Journal of Applied Physiology. 119(8). 851–857. 61 indexed citations
9.
Danilchanka, Olga, Jim Sun, Mikhail Pavlenok, et al.. (2014). An outer membrane channel protein of Mycobacterium tuberculosis with exotoxin activity. Proceedings of the National Academy of Sciences. 111(18). 6750–6755. 99 indexed citations
10.
Mayhew, David L., et al.. (2011). Eukaryotic initiation factor 2B epsilon induces cap‐dependent translation and skeletal muscle hypertrophy. The Journal of Physiology. 589(12). 3023–3037. 59 indexed citations
11.
Goodman, Craig A., David L. Mayhew, & Troy A. Hornberger. (2011). Recent progress toward understanding the molecular mechanisms that regulate skeletal muscle mass. Cellular Signalling. 23(12). 1896–1906. 139 indexed citations
12.
Petrella, John K., Jeong-su Kim, David L. Mayhew, James M. Cross, & Marcas M. Bamman. (2008). Potent myofiber hypertrophy during resistance training in humans is associated with satellite cell-mediated myonuclear addition: a cluster analysis. Journal of Applied Physiology. 104(6). 1736–1742. 344 indexed citations
13.
Bamman, Marcas M., John K. Petrella, Jeong-su Kim, David L. Mayhew, & James M. Cross. (2007). Cluster analysis tests the importance of myogenic gene expression during myofiber hypertrophy in humans. Journal of Applied Physiology. 102(6). 2232–2239. 161 indexed citations
14.
Benos, Dale, J. M. Chaves, Amit Gaggar, et al.. (2007). The ups and downs of peer review. AJP Advances in Physiology Education. 31(2). 145–152. 172 indexed citations
15.
Mayhew, David L., et al.. (2007). The PI3K/Akt/mTOR pathway is up‐regulated during skeletal muscle hypertrophy in humans. The FASEB Journal. 21(6). 2 indexed citations
16.
Mayhew, David L., John P. Thyfault, & Alexander J. Koch. (2005). Rest-Interval Length Affects Leukocyte Levels During Heavy Resistance Exercise. The Journal of Strength and Conditioning Research. 19(1). 16–16. 57 indexed citations
17.
Mayhew, Jerry L., et al.. (2004). Selecting the Best Weight to Predict 1-RM Strength. Medicine & Science in Sports & Exercise. 36(Supplement). S351–S351. 2 indexed citations
18.
Mayhew, Jerry L., et al.. (2004). Selecting the Best Weight to Predict 1-RM Strength. Medicine & Science in Sports & Exercise. 36(Supplement). S351–S351. 2 indexed citations
19.
Mayhew, Jerry L., et al.. (2004). Using Repetitions to Fatigue to Predict One-Repetition Maximum Bench Press in Male High School Athletes. Pediatric Exercise Science. 16(3). 265–276. 23 indexed citations
20.
Mayhew, David L., Jerry L. Mayhew, & John S. Ware. (2002). Effects of Long-term Creatine Supplementation on Liver and Kidney Functions in American College Football Players. International Journal of Sport Nutrition and Exercise Metabolism. 12(4). 453–460. 43 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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