Charles W. Garner

3.1k total citations · 1 hit paper
46 papers, 2.6k citations indexed

About

Charles W. Garner is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, Charles W. Garner has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Cell Biology. Recurrent topics in Charles W. Garner's work include Metabolism, Diabetes, and Cancer (7 papers), Peptidase Inhibition and Analysis (5 papers) and Neuropeptides and Animal Physiology (5 papers). Charles W. Garner is often cited by papers focused on Metabolism, Diabetes, and Cancer (7 papers), Peptidase Inhibition and Analysis (5 papers) and Neuropeptides and Animal Physiology (5 papers). Charles W. Garner collaborates with scholars based in United States, Canada and United Kingdom. Charles W. Garner's co-authors include Gustav E. Lienhard, Louis C. Smith, William S. Lane, Kenneth Rice, Susan E. Kane, John M. Asara, Hiroyuki Sano, Cristinel P. Mı̂inea, Richard L. Jackson and H. Nordean Baker and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Charles W. Garner

46 papers receiving 2.5k citations

Hit Papers

Insulin-stimulated Phosphorylation of a Rab GTPase-activa... 2003 2026 2010 2018 2003 200 400 600

Peers

Charles W. Garner
Ora M. Rosen United States
M P Czech United States
Simon J. Pilkis United States
Fred R. Butcher United States
J A Hedo United States
Tausif Alam United States
Raymond E. Soccio United States
Charles W. Garner
Citations per year, relative to Charles W. Garner Charles W. Garner (= 1×) peers Max Fehlmann

Countries citing papers authored by Charles W. Garner

Since Specialization
Citations

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

Fields of papers citing papers by Charles W. Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles W. Garner. 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 Charles W. Garner. The network helps show where Charles W. Garner may publish in the future.

Co-authorship network of co-authors of Charles W. Garner

This figure shows the co-authorship network connecting the top 25 collaborators of Charles W. Garner. A scholar is included among the top collaborators of Charles W. Garner 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 Charles W. Garner. Charles W. Garner 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.
Manna, Pulak R., Joëlle Cohen-Tannoudji, Raymond Counis, et al.. (2013). Mechanisms of Action of Hormone-sensitive Lipase in Mouse Leydig Cells. Journal of Biological Chemistry. 288(12). 8505–8518. 76 indexed citations
2.
Gridley, Scott, William S. Lane, Charles W. Garner, & Gustav E. Lienhard. (2004). Novel insulin-elicited phosphoproteins in adipocytes. Cellular Signalling. 17(1). 59–66. 36 indexed citations
3.
Sano, Hiroyuki, Susan E. Kane, Cristinel P. Mı̂inea, et al.. (2003). Insulin-stimulated Phosphorylation of a Rab GTPase-activating Protein Regulates GLUT4 Translocation. Journal of Biological Chemistry. 278(17). 14599–14602. 749 indexed citations breakdown →
4.
Rice, Kenneth & Charles W. Garner. (1999). IGF-I Regulates IRS-1 Expression in 3T3-L1 Adipocytes. Biochemical and Biophysical Research Communications. 255(3). 614–617. 10 indexed citations
5.
Rice, Kenneth, et al.. (1996). The insulin-induced down-regulation of IRS-1 in 3T3-L1 adipocytes is mediated by a calcium-dependent thiol protease. Molecular and Cellular Endocrinology. 122(1). 81–92. 40 indexed citations
6.
Vlahos, Chris J., et al.. (1995). Wortmannin and LY294002 inhibit the insulin-induced down-regulation of IRS-1 in 3T3-L1 adipocytes. Molecular and Cellular Endocrinology. 113(1). 73–81. 19 indexed citations
7.
Rice, Kenneth & Charles W. Garner. (1994). Correlation of the Insulin Receptor Substrate-1 with Insulin-Responsive Deoxyglucose Transport in 3T3-L1 Adipocytes. Biochemical and Biophysical Research Communications. 198(2). 523–530. 24 indexed citations
8.
Wille, Holger, et al.. (1994). Phosphorylation of microtubule-associated proteins MAP2a,b and MAP2c at Ser136 by proline-directed kinases in vivo and in vitro.. PubMed. 64(1). 120–30. 51 indexed citations
9.
Keller, Susanne R., Ruedi Aebersold, Charles W. Garner, & Gustav E. Lienhard. (1993). The insulin-elicited 160 kDa phosphotyrosine protein in mouse adipocytes is an insulin receptor substrate 1: Identification by cloning. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1172(3). 323–326. 46 indexed citations
10.
Croall, Dorothy E., et al.. (1993). The Insulin Receptor Substrate (IRS-1) Is a Pest Protein That Is Susceptible to Calpain Degradation in Vitro. Biochemical and Biophysical Research Communications. 196(2). 767–772. 24 indexed citations
11.
Rice, Kenneth, et al.. (1993). Insulin Stimulates the Degradation of IRS-1 in 3T3-L1 Adipocytes. Biochemical and Biophysical Research Communications. 190(3). 961–967. 88 indexed citations
12.
Rice, Kenneth, Gustav E. Lienhard, & Charles W. Garner. (1992). Regulation of the expression of pp160, a putative insulin receptor signal protein, by insulin, dexamethasone, and 1-methyl-3-isobutylxanthine in 3T3-L1 adipocytes.. Journal of Biological Chemistry. 267(14). 10163–10167. 58 indexed citations
13.
Beck, Candace A. & Charles W. Garner. (1992). Stimulation of DNA synthesis in rat uterine cells by growth factors and uterine extracts. Molecular and Cellular Endocrinology. 84(1-2). 109–118. 14 indexed citations
14.
Straus, David C., et al.. (1990). 3-Deoxy-D-manno-2-octulosonic acid in the lipopolysaccharide of various strains of Pseudomonas cepacia. Journal of Medical Microbiology. 33(4). 265–269. 8 indexed citations
15.
Beck, Candace A. & Charles W. Garner. (1989). Characterization and estrogen regulation of growth factor activity from uterus. Molecular and Cellular Endocrinology. 63(1-2). 93–101. 5 indexed citations
16.
Straus, David C., et al.. (1988). The importance of extracellular antigens in Pseudomonas cepacia infections. Journal of Medical Microbiology. 26(4). 269–280. 15 indexed citations
17.
Beck, Candace A., et al.. (1988). Stimulation of glucose transport in cultured uterine cells by rat and rabbit uterine extracts. Molecular and Cellular Endocrinology. 57(1-2). 25–31. 9 indexed citations
18.
Meier, Daniel A. & Charles W. Garner. (1987). Estradiol Stimulation of Glucose Transport in Rat Uterus*. Endocrinology. 121(4). 1366–1374. 26 indexed citations
19.
Hutson, James C., Charles W. Garner, & Douglas M. Stocco. (1980). Effects of serum components on the morphology of sertoli cells in culture. The Anatomical Record. 197(2). 205–211. 11 indexed citations
20.
Garner, Charles W., et al.. (1979). Alanine aminopeptidase activity and autolysis in the tails of Rana catesbeiana larvae during metamorphosis. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 62(2). 163–165. 3 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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