Michael V. Dodson

6.4k total citations
131 papers, 5.1k citations indexed

About

Michael V. Dodson is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Michael V. Dodson has authored 131 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 57 papers in Physiology and 26 papers in Epidemiology. Recurrent topics in Michael V. Dodson's work include Adipose Tissue and Metabolism (53 papers), Muscle Physiology and Disorders (47 papers) and Adipokines, Inflammation, and Metabolic Diseases (26 papers). Michael V. Dodson is often cited by papers focused on Adipose Tissue and Metabolism (53 papers), Muscle Physiology and Disorders (47 papers) and Adipokines, Inflammation, and Metabolic Diseases (26 papers). Michael V. Dodson collaborates with scholars based in United States, Canada and China. Michael V. Dodson's co-authors include Gary Hausman, ‬Min Du, Zhihua Jiang, Sylvia P. Poulos, Ronald E. Allen, Le Luo Guan, Melinda E. Fernyhough, Gary J. Hausman, K. L. Hossner and Janet L. Vierck and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Michael V. Dodson

129 papers receiving 4.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael V. Dodson 2.3k 1.8k 890 846 708 131 5.1k
Gongshe Yang 3.0k 1.3× 1.4k 0.8× 540 0.6× 820 1.0× 318 0.4× 246 5.3k
Bernd Schröder 1.6k 0.7× 543 0.3× 413 0.5× 385 0.5× 373 0.5× 151 4.2k
Li Zhu 2.6k 1.1× 777 0.4× 734 0.8× 381 0.5× 478 0.7× 197 4.5k
Xingming Shi 2.3k 1.0× 487 0.3× 323 0.4× 509 0.6× 206 0.3× 104 4.5k
Xing Fu 2.4k 1.1× 868 0.5× 301 0.3× 425 0.5× 127 0.2× 94 4.2k
Xuewei Li 2.9k 1.3× 715 0.4× 846 1.0× 358 0.4× 412 0.6× 176 4.9k
Kui Li 2.5k 1.1× 462 0.3× 1.3k 1.5× 280 0.3× 559 0.8× 234 4.8k
Jorge A. Piedrahita 3.3k 1.4× 503 0.3× 1.7k 1.9× 532 0.6× 74 0.1× 137 6.7k
Siwen Jiang 1.6k 0.7× 499 0.3× 430 0.5× 229 0.3× 585 0.8× 126 3.0k

Countries citing papers authored by Michael V. Dodson

Since Specialization
Citations

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

Fields of papers citing papers by Michael V. Dodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael V. Dodson. 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 Michael V. Dodson. The network helps show where Michael V. Dodson may publish in the future.

Co-authorship network of co-authors of Michael V. Dodson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael V. Dodson. A scholar is included among the top collaborators of Michael V. Dodson 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 Michael V. Dodson. Michael V. Dodson 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.
Wang, Shanshan, Xu Liang, Qiyuan Yang, et al.. (2015). Resveratrol induces brown-like adipocyte formation in white fat through activation of AMP-activated protein kinase (AMPK) α1. International Journal of Obesity. 39(6). 967–976. 242 indexed citations
2.
Miao, Zhiguo, Liying Zhang, Xing Fu, et al.. (2015). Invited review: mesenchymal progenitor cells in intramuscular connective tissue development. animal. 10(1). 75–81. 24 indexed citations
3.
Duarte, Márcio de Souza, Mateus Pies Gionbelli, Pedro Veiga Rodrigues Paulino, et al.. (2013). Effects of pregnancy and feeding level on carcass and meat quality traits of Nellore cows. Meat Science. 94(1). 139–144. 9 indexed citations
4.
Duarte, Márcio de Souza, Mateus Pies Gionbelli, Nick V. L. Serão, et al.. (2013). Effects of maternal nutrition on development of gastrointestinal tract of bovine fetus at different stages of gestation. Livestock Science. 153(1-3). 60–65. 35 indexed citations
5.
Zhang, Lifan, Michelle R. Mousel, Xiao‐Lin Wu, et al.. (2013). Genome-Wide Genetic Diversity and Differentially Selected Regions among Suffolk, Rambouillet, Columbia, Polypay, and Targhee Sheep. PLoS ONE. 8(6). e65942–e65942. 47 indexed citations
6.
Wei, Shengjuan, Márcio de Souza Duarte, ‬Min Du, et al.. (2012). Bovine mature adipocytes readily return to a proliferative state. Tissue and Cell. 44(6). 385–390. 6 indexed citations
7.
Fernyhough, Melinda E., et al.. (2010). The Effect of Nutritional Supplements on Muscle-Derived Stem Cells in vitro. International Journal of Stem Cells. 3(1). 63–67. 5 indexed citations
8.
Dodson, Michael V., Le Luo Guan, Melinda E. Fernyhough, et al.. (2009). Perspectives on the formation of an interdisciplinary research team. Biochemical and Biophysical Research Communications. 391(2). 1155–1157. 11 indexed citations
9.
Hausman, Gary, Michael V. Dodson, Kolapo M. Ajuwon, et al.. (2008). BOARD-INVITED REVIEW: The biology and regulation of preadipocytes and adipocytes in meat animals1,2. Journal of Animal Science. 87(4). 1218–1246. 282 indexed citations
10.
Taniguchi, Masaaki, Le Luo Guan, Bing Zhang, et al.. (2007). Gene expression patterns of bovine perimuscular preadipocytes during adipogenesis. Biochemical and Biophysical Research Communications. 366(2). 346–351. 49 indexed citations
11.
Vierck, Janet L., et al.. (2005). An Inexpensive Method for Applying Nitrogen Evaporation to Hexane-containing 24- or 96-well Plates. Cytotechnology. 49(1). 71–75. 3 indexed citations
12.
Hill, Rodney A., et al.. (2004). Early insulin signaling cascade in a model of oxidative skeletal muscle: mouse Sol8 cell line. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1693(3). 205–211. 6 indexed citations
13.
Vierck, Janet L., Katherine Byrne, P. S. Mir, & Michael V. Dodson. (2000). Ten commandments for preventing contamination of primary cell cultures. Methods in Cell Science. 22(1). 33–41. 12 indexed citations
14.
Vierck, Janet L., et al.. (2000). Formulation of a defined medium to maintain cell health and viability in vitro. Methods in Cell Science. 22(1). 43–49. 12 indexed citations
15.
Byrne, Katherine, J.L. Vierck, & Michael V. Dodson. (2000). In vitro model of equine muscle regeneration. Equine Veterinary Journal. 32(5). 401–405. 11 indexed citations
16.
Byrne, Katherine, et al.. (2000). Traditional and emerging methods for analyzing cell activity in cell culture. Methods in Cell Science. 22(1). 67–78. 15 indexed citations
17.
Duckett, S. K., Terry A. Klein, Michael V. Dodson, & G. D. Snowder. (1998). Tenderness of normal and callipyge lamb aged fresh or after freezing∗. Meat Science. 49(1). 19–26. 57 indexed citations
18.
Dodson, Michael V., Douglas C. McFarland, A.L. Grant, M. E. Doumit, & Sandra G. Velleman. (1996). Extrinsic regulation of domestic animal-derived satellite cells. Domestic Animal Endocrinology. 13(2). 107–126. 73 indexed citations
19.
Dodson, Michael V. & Blaine A. Mathison. (1988). Comparison of ovine and rat muscle-derived satellite cells: Response to insulin. Tissue and Cell. 20(6). 909–918. 37 indexed citations
20.
Dodson, Michael V., Ronald E. Allen, Nobuyoshi Shimizu, Yoshiko Shimizu, & K. L. Hossner. (1987). Interaction of ovine somatomedin and multiplication stimulating activity/rat insulin-like growth factor II with cultured skeletal muscle satellite cells. European Journal of Endocrinology. 116(3). 425–432. 7 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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