David L. Williamson

6.0k total citations · 1 hit paper
115 papers, 4.3k citations indexed

About

David L. Williamson is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, David L. Williamson has authored 115 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 40 papers in Plant Science and 34 papers in Insect Science. Recurrent topics in David L. Williamson's work include Phytoplasmas and Hemiptera pathogens (32 papers), Insect symbiosis and bacterial influences (21 papers) and Muscle Physiology and Disorders (20 papers). David L. Williamson is often cited by papers focused on Phytoplasmas and Hemiptera pathogens (32 papers), Insect symbiosis and bacterial influences (21 papers) and Muscle Physiology and Disorders (20 papers). David L. Williamson collaborates with scholars based in United States, France and Canada. David L. Williamson's co-authors include Robert F. Whitcomb, Joseph G. Tully, Scott Trappe, Scot R. Kimball, Leonard S. Jefferson, Philip M. Gallagher, Michael P. Godard, Cory M. Dungan, John P. Kirwan and Stephen E. Alway and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David L. Williamson

114 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pathogenic Mycoplasmas: Cultivation and Vertebrate Pathogenicity of a New Spiroplasma

1977 314 citations Joseph G. Tully, Robert F. Whitcomb et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David L. Williamson United States	38	1.7k	1.0k	967	859	808	115	4.3k
Debra Crumrine United States	54	2.1k 1.3×	561 0.6×	206 0.2×	1.6k 1.9×	176 0.2×	113	7.4k
Gopinathan K. Menon United States	41	1.7k 1.0×	340 0.3×	192 0.2×	1.3k 1.5×	550 0.7×	87	5.9k
James R. Mickelson United States	41	2.6k 1.6×	434 0.4×	176 0.2×	998 1.2×	99 0.1×	185	5.2k
Tatsuya Yoshizawa Japan	36	2.9k 1.8×	635 0.6×	836 0.9×	664 0.8×	81 0.1×	105	6.8k
Xingming Shi United States	37	2.3k 1.4×	487 0.5×	719 0.7×	148 0.2×	179 0.2×	104	4.5k
Brian Dixon Canada	35	1.3k 0.8×	336 0.3×	150 0.2×	365 0.4×	52 0.1×	173	5.6k
Catherine Dostert Switzerland	18	4.9k 3.0×	417 0.4×	414 0.4×	144 0.2×	879 1.1×	20	8.5k
Anna Di Nardo United States	30	1.2k 0.7×	507 0.5×	79 0.1×	560 0.7×	168 0.2×	79	5.4k
Christine Aurich Austria	40	406 0.2×	99 0.1×	277 0.3×	274 0.3×	166 0.2×	289	5.8k
Yuan Li China	37	2.8k 1.7×	294 0.3×	232 0.2×	329 0.4×	77 0.1×	225	5.2k

Countries citing papers authored by David L. Williamson

Since Specialization

Citations

This map shows the geographic impact of David L. Williamson'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. Williamson 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. Williamson more than expected).

Fields of papers citing papers by David L. Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Dungan, Cory M. & David L. Williamson. (2016). Regulation of skeletal muscle insulin-stimulated signaling through the MEK-REDD1-mTOR axis. Biochemical and Biophysical Research Communications. 482(4). 1067–1072. 11 indexed citations

Gordon, Bradley S., David L. Williamson, Charles H. Lang, Leonard S. Jefferson, & Scot R. Kimball. (2015). Nutrient-Induced Stimulation of Protein Synthesis in Mouse Skeletal Muscle Is Limited by the mTORC1 Repressor REDD1. Journal of Nutrition. 145(4). 708–713. 46 indexed citations

Dungan, Cory M. & David L. Williamson. (2014). High-Fat Diet Regulation of Cell Cycle. TopSCHOLAR (Western Kentucky University). 9(2). 15. 1 indexed citations

Dungan, Cory M., David C. Wright, & David L. Williamson. (2014). Lack of REDD1 reduces whole body glucose and insulin tolerance, and impairs skeletal muscle insulin signaling. Biochemical and Biophysical Research Communications. 453(4). 778–783. 25 indexed citations

Jadhav, Kavita, Cory M. Dungan, & David L. Williamson. (2013). Metformin limits ceramide-induced senescence in C2C12 myoblasts. Mechanisms of Ageing and Development. 134(11-12). 548–559. 55 indexed citations

Dungan, Cory M., et al.. (2013). Aging-Associated Reductions in Lipolytic and Mitochondrial Proteins in Mouse Adipose Tissue Are Not Rescued by Metformin Treatment. The Journals of Gerontology Series A. 69(9). 1060–1068. 36 indexed citations

Butler, David C., Satoshi Haramizu, David L. Williamson, & Stephen E. Alway. (2009). Phospho-Ablated Id2 Is Growth Suppressive and Pro-Apoptotic in Proliferating Myoblasts. PLoS ONE. 4(7). e6302–e6302. 10 indexed citations

Williamson, David L., David C. Butler, & Stephen E. Alway. (2009). AMPK inhibits myoblast differentiation through a PGC-1α-dependent mechanism. American Journal of Physiology-Endocrinology and Metabolism. 297(2). E304–E314. 71 indexed citations

Peterson, Jonathan M., Yan Wang, Randall W. Bryner, David L. Williamson, & Stephen E. Alway. (2008). Bax signaling regulates palmitate-mediated apoptosis in C₂C₁₂myotubes. American Journal of Physiology-Endocrinology and Metabolism. 295(6). E1307–E1314. 35 indexed citations

10.

Williamson, David L., Neil Kubica, Scot R. Kimball, & Leonard S. Jefferson. (2006). Exercise‐induced alterations in extracellular signal‐regulated kinase 1/2 and mammalian target of rapamycin (mTOR) signalling to regulatory mechanisms of mRNA translation in mouse muscle. The Journal of Physiology. 573(2). 497–510. 82 indexed citations

11.

Williamson, David L., Douglas R. Bolster, Scot R. Kimball, & Leonard S. Jefferson. (2006). Time course changes in signaling pathways and protein synthesis in C₂C₁₂myotubes following AMPK activation by AICAR. American Journal of Physiology-Endocrinology and Metabolism. 291(1). E80–E89. 80 indexed citations

12.

Williamson, David L., Scot R. Kimball, & Leonard S. Jefferson. (2005). Acute treatment with TNF-α attenuates insulin-stimulated protein synthesis in cultures of C₂C₁₂myotubes through a MEK1-sensitive mechanism. American Journal of Physiology-Endocrinology and Metabolism. 289(1). E95–E104. 38 indexed citations

13.

Raue, Ulrika, et al.. (2005). Effects of Short-Term Concentric vs. Eccentric Resistance Training on Single Muscle Fiber MHC Distribution in Humans. International Journal of Sports Medicine. 26(5). 339–343. 25 indexed citations

14.

Bolster, Douglas R., Neil Kubica, Stephen J. Crozier, et al.. (2003). Immediate Response of Mammalian Target of Rapamycin (mTOR)‐Mediated Signalling Following Acute Resistance Exercise in Rat Skeletal Muscle. The Journal of Physiology. 553(1). 213–220. 198 indexed citations

15.

Godard, Michael P., David L. Williamson, & Scott Trappe. (2002). Oral amino-acid provision does not affect muscle strength or size gains in older men. Medicine & Science in Sports & Exercise. 34(7). 1126–1131. 47 indexed citations

16.

Schoenwaelder, Simone M., Leslie Petch, David L. Williamson, et al.. (2000). The protein tyrosine phosphatase Shp-2 regulates RhoA activity. Current Biology. 10(23). 1523–1526. 115 indexed citations

17.

Rodhain, F, Patricia Carle, Robert F. Whitcomb, et al.. (1998). Spiroplasma turonicum sp. nov. from Haematopota horse flies (Diptera: Tabanidae) in France. International Journal of Systematic Bacteriology. 48(2). 457–461. 8 indexed citations

18.

Williamson, David L. & John P. Kirwan. (1997). A Single Bout of Concentric Resistance Exercise Increases Basal Metabolic Rate 48 Hours After Exercise in Healthy 59-77-year-old Men. The Journals of Gerontology Series A. 52A(6). M352–M355. 61 indexed citations

19.

Carle, Patricia, Robert F. Whitcomb, Kevin J. Hackett, et al.. (1997). Spiroplasma diabroticae sp. nov., from the Southern Corn Rootworm Beetle, Diabrotica undecimpunctata (Coleoptera: Chrysomelidae). International Journal of Systematic Bacteriology. 47(1). 78–80. 5 indexed citations

20.

Tully, Joseph G., Conrad E. Yunker, Patricia Carle, et al.. (1995). Spiroplasma ixodetis sp. nov., a New Species from Ixodes pacificus Ticks Collected in Oregon. International Journal of Systematic Bacteriology. 45(1). 23–28. 50 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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