R.G. Dean

514 total citations
23 papers, 420 citations indexed

About

R.G. Dean is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, R.G. Dean has authored 23 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Physiology and 9 papers in Genetics. Recurrent topics in R.G. Dean's work include Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). R.G. Dean is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Regulation of Appetite and Obesity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). R.G. Dean collaborates with scholars based in United States and Egypt. R.G. Dean's co-authors include Gary J. Hausman, Dorothy B. Hausman, Diane L. Hartzell, Clifton A. Baile, C.R. Barb, Hyunsook Kim, Roy J. Martin, Lifang Liang, B. White and Scott A. Martin and has published in prestigious journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

In The Last Decade

R.G. Dean

22 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.G. Dean United States 12 202 158 119 118 62 23 420
Marty H. Porter United States 11 159 0.8× 99 0.6× 119 1.0× 81 0.7× 53 0.9× 17 444
Sanggun Roh Japan 13 109 0.5× 143 0.9× 104 0.9× 85 0.7× 52 0.8× 25 455
Joëlle Dupont France 14 147 0.7× 177 1.1× 106 0.9× 67 0.6× 27 0.4× 20 610
Hiroaki Tsuzuki Japan 5 345 1.7× 377 2.4× 45 0.4× 108 0.9× 103 1.7× 8 611
Shenshen Pu China 7 295 1.5× 208 1.3× 43 0.4× 131 1.1× 35 0.6× 8 592
Murray L. Kaplan United States 12 201 1.0× 79 0.5× 65 0.5× 69 0.6× 105 1.7× 26 368
Xiaolang Yan Australia 12 160 0.8× 155 1.0× 226 1.9× 73 0.6× 151 2.4× 13 580
Lewin Small Australia 12 241 1.2× 186 1.2× 58 0.5× 56 0.5× 40 0.6× 20 420
Rizaldy C. Zapata United States 14 281 1.4× 217 1.4× 72 0.6× 62 0.5× 103 1.7× 34 578
T. G. Ramsay United States 10 191 0.9× 57 0.4× 188 1.6× 100 0.8× 123 2.0× 12 400

Countries citing papers authored by R.G. Dean

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.G. Dean. 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 R.G. Dean. The network helps show where R.G. Dean may publish in the future.

Co-authorship network of co-authors of R.G. Dean

This figure shows the co-authorship network connecting the top 25 collaborators of R.G. Dean. A scholar is included among the top collaborators of R.G. Dean 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 R.G. Dean. R.G. Dean 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.
Hausman, Gary, C.R. Barb, & R.G. Dean. (2011). Gene expression profiling in developing pig adipose tissue: non-secreted regulatory proteins. animal. 5(7). 1071–1081. 7 indexed citations
2.
Hausman, Gary J., C.R. Barb, & R.G. Dean. (2008). Patterns of gene expression in pig adipose tissue: Insulin-like growth factor system proteins, neuropeptide Y (NPY), NPY receptors, neurotrophic factors and other secreted factors. Domestic Animal Endocrinology. 35(1). 24–34. 43 indexed citations
3.
Hausman, Gary J., C.R. Barb, & R.G. Dean. (2007). Patterns of gene expression in pig adipose tissue: Transforming growth factors, interferons, interleukins, and apolipoproteins1. Journal of Animal Science. 85(10). 2445–2456. 19 indexed citations
4.
Hausman, Dorothy B., et al.. (2003). Adipose tissue cellularity and apoptosis after intracerebroventricular injections of leptin and 21 days of recovery in rats. International Journal of Obesity. 27(3). 302–312. 47 indexed citations
5.
Kim, Hyunsook, Lifang Liang, R.G. Dean, et al.. (2001). Inhibition of Preadipocyte Differentiation by Myostatin Treatment in 3T3-L1 Cultures. Biochemical and Biophysical Research Communications. 281(4). 902–906. 100 indexed citations
6.
Chen, XL, Diane L. Hartzell, R.G. Dean, et al.. (2001). Adipocyte Insensitivity to Insulin in Growth Hormone-Transgenic Mice. Biochemical and Biophysical Research Communications. 283(4). 933–937. 17 indexed citations
7.
Kim, Hyunsook, Dorothy B. Hausman, Mark M. Compton, et al.. (2000). Induction of Apoptosis by All-trans-Retinoic Acid and C2-Ceramide Treatment in Rat Stromal–Vascular Cultures. Biochemical and Biophysical Research Communications. 270(1). 76–80. 23 indexed citations
8.
9.
Chen, XL, Diane L. Hartzell, Royal A. McGraw, Gary J. Hausman, & R.G. Dean. (1999). Analysis of a 762-bp Proximal Leptin Promoter to Drive and Control Regulation of Transgene Expression of Growth Hormone Receptor in Mice. Biochemical and Biophysical Research Communications. 262(1). 187–192. 9 indexed citations
10.
Barb, C.R., Robert R. Kraeling, Ronald T. Riley, et al.. (1999). Expression of beta‐galactosidase and pig leptin gene in vitro by recombinant adenovirus. Animal Biotechnology. 10(1-2). 37–48. 5 indexed citations
11.
12.
White, B., R.G. Dean, & Roy J. Martin. (1998). An Association between Low Levels of Dietary Protein, Elevated NPY Gene Expression in the Basomedial Hypothalamus and Increased Food Intake. Nutritional Neuroscience. 1(3). 173–182. 20 indexed citations
13.
Hausman, Dorothy B., et al.. (1998). Hormonal Regulation of Leptin mRNA Expression and Preadipocyte Recruitment and Differentiation in Porcine Primary Cultures of S‐V Cells. Obesity Research. 6(2). 164–172. 32 indexed citations
14.
Dean, R.G. & Jonathan Arnold. (1997). The effects of unidirectional incompatibility on cytonuclear disequilibria in a hybrid zone. Genetica. 101(3). 215–224. 5 indexed citations
15.
Dean, R.G. & Jonathan Arnold. (1996). CYTONUCLEAR DISEQUILIBRIA IN HYBRID ZONES USING RAPD MARKERS. Evolution. 50(4). 1702–1705. 4 indexed citations
16.
Johnson, Sandra K., et al.. (1991). The quantitation of bovine embryo viability using a bioluminescent assay for lactate dehydrogenase. Theriogenology. 35(2). 425–433. 7 indexed citations
17.
Dean, R.G., et al.. (1989). Isolation of plasmid DNA from the ruminal bacterium Selenomonas ruminantium HD4. Letters in Applied Microbiology. 8(2). 45–48. 13 indexed citations
18.
Martin, Scott A. & R.G. Dean. (1989). Characterization of a plasmid from the ruminal bacterium Selenomonas ruminantium. Applied and Environmental Microbiology. 55(12). 3035–3038. 15 indexed citations
19.
Dean, R.G., et al.. (1983). Activation of polycyclic hydrocarbons in Reuber H4-II-E hepatoma cells an in vitro system for the induction of SCEs. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 111(3). 419–427. 5 indexed citations
20.
Dean, R.G. & Estelle J. McGroarty. (1979). Protein and ribonucleic acid syntheses in heat-damaged and heat-killed Escherichia coli. Journal of Bacteriology. 138(2). 492–498. 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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