Lamar Galloway

1.7k total citations
17 papers, 1.5k citations indexed

About

Lamar Galloway is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Lamar Galloway has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Surgery and 2 papers in Neurology. Recurrent topics in Lamar Galloway's work include Metabolism, Diabetes, and Cancer (12 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Pancreatic function and diabetes (6 papers). Lamar Galloway is often cited by papers focused on Metabolism, Diabetes, and Cancer (12 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Pancreatic function and diabetes (6 papers). Lamar Galloway collaborates with scholars based in United States, Spain and Japan. Lamar Galloway's co-authors include Mary L. Standaert, Gautam Bandyopadhyay, Jorge Moscat, Robert V. Farese, Robert V. Farese, A. Avignon, Liming Zhao, Bingzhi Yu, Alex Toker and Andrew Poklepovic and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and FEBS Letters.

In The Last Decade

Lamar Galloway

17 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lamar Galloway United States 12 1.2k 403 343 236 118 17 1.5k
I J Kozka United Kingdom 12 1.1k 0.9× 497 1.2× 350 1.0× 318 1.3× 150 1.3× 17 1.3k
Kazuhiro Kishi Japan 17 875 0.7× 246 0.6× 219 0.6× 330 1.4× 132 1.1× 28 1.2k
Yasuhisa Hino Japan 8 904 0.7× 289 0.7× 241 0.7× 124 0.5× 117 1.0× 13 1.1k
Cristinel P. Mı̂inea United States 6 1.3k 1.0× 626 1.6× 408 1.2× 448 1.9× 126 1.1× 7 1.5k
Xudong Huang China 13 654 0.5× 180 0.4× 345 1.0× 200 0.8× 108 0.9× 21 964
Scott L. Schissel United States 12 1.2k 1.0× 318 0.8× 400 1.2× 350 1.5× 115 1.0× 16 1.7k
Roger W. Hunter United Kingdom 18 941 0.8× 398 1.0× 285 0.8× 105 0.4× 221 1.9× 24 1.4k
M.J. Zarnowski United States 8 687 0.6× 290 0.7× 273 0.8× 158 0.7× 115 1.0× 8 873
Celia Taha Canada 10 694 0.6× 174 0.4× 184 0.5× 140 0.6× 73 0.6× 10 882
Weimin He United States 9 945 0.8× 165 0.4× 389 1.1× 108 0.5× 148 1.3× 11 1.2k

Countries citing papers authored by Lamar Galloway

Since Specialization
Citations

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

Fields of papers citing papers by Lamar Galloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lamar Galloway. 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 Lamar Galloway. The network helps show where Lamar Galloway may publish in the future.

Co-authorship network of co-authors of Lamar Galloway

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

All Works

17 of 17 papers shown
1.
Galloway, Lamar, et al.. (2018). Bm-iAANAT3: Expression and characterization of a novel arylalkylamine N-acyltransferase from Bombyx mori. Archives of Biochemistry and Biophysics. 661. 107–116. 8 indexed citations
2.
Merkler, David J., Casey C. Cosner, Lamar Galloway, et al.. (2008). Substituted hippurates and hippurate analogs as substrates and inhibitors of peptidylglycine α-hydroxylating monooxygenase (PHM). Bioorganic & Medicinal Chemistry. 16(23). 10061–10074. 10 indexed citations
3.
Galloway, Lamar, et al.. (2005). Ubiquitin and ubiquitin‐derived peptides as substrates for peptidylglycine α‐amidating monooxygenase. FEBS Letters. 579(21). 4678–4684. 4 indexed citations
4.
Miller, Laura A., Mitchell A. deLong, Lamar Galloway, et al.. (2003). Glutathione, S-substituted glutathiones, and leukotriene C4 as substrates for peptidylglycine α-amidating monooxygenase. Archives of Biochemistry and Biophysics. 412(1). 3–12. 7 indexed citations
5.
Galloway, Lamar, et al.. (2002). UV‐visible spectrophotometric approach to blood typing II: phenotyping of subtype A2 and weak D and whole blood analysis. Transfusion. 42(5). 619–626. 32 indexed citations
6.
Standaert, Mary L., Gautam Bandyopadhyay, Lamar Galloway, et al.. (1999). Insulin Activates Protein Kinases C-ζ and C-λ by an Autophosphorylation-dependent Mechanism and Stimulates Their Translocation to GLUT4 Vesicles and Other Membrane Fractions in Rat Adipocytes. Journal of Biological Chemistry. 274(36). 25308–25316. 183 indexed citations
7.
Standaert, Mary L., Gautam Bandyopadhyay, Lamar Galloway, et al.. (1999). Effects of Knockout of the Protein Kinase C β Gene on Glucose Transport and Glucose Homeostasis1. Endocrinology. 140(10). 4470–4477. 66 indexed citations
8.
Standaert, Mary L., et al.. (1998). Comparative Effects of GTPγS and Insulin on the Activation of Rho, Phosphatidylinositol 3-Kinase, and Protein Kinase N in Rat Adipocytes. Journal of Biological Chemistry. 273(13). 7470–7477. 57 indexed citations
9.
Bandyopadhyay, Gautam, Mary L. Standaert, Lamar Galloway, Jorge Moscat, & Robert V. Farese. (1997). Evidence for Involvement of Protein Kinase C (PKC)-ζ and Noninvolvement of Diacylglycerol-Sensitive PKCs in Insulin-Stimulated Glucose Transport in L6 Myotubes*. Endocrinology. 138(11). 4721–4731. 194 indexed citations
10.
Bandyopadhyay, Gautam, Mary L. Standaert, Liming Zhao, et al.. (1997). Activation of Protein Kinase C (α, β, and ζ) by Insulin in 3T3/L1 Cells. Journal of Biological Chemistry. 272(4). 2551–2558. 254 indexed citations
11.
Standaert, Mary L., et al.. (1997). Activation and Translocation of Rho (and ADP Ribosylation Factor) by Insulin in Rat Adipocytes. Journal of Biological Chemistry. 272(10). 6136–6140. 85 indexed citations
12.
Standaert, Mary L., et al.. (1997). Protein Kinase C-ζ as a Downstream Effector of Phosphatidylinositol 3-Kinase during Insulin Stimulation in Rat Adipocytes. Journal of Biological Chemistry. 272(48). 30075–30082. 387 indexed citations
13.
Bandyopadhyay, Gautam, Mary L. Standaert, Liming Zhao, et al.. (1997). TRANSFECTION STUDIES SUGGEST A ROLE FOR PKC-z IN GLUCOSE TRANSPORT*. 4 indexed citations
14.
Standaert, Mary L., Gautam Bandyopadhyay, Xiaopeng Zhou, Lamar Galloway, & Robert V. Farese. (1996). Insulin stimulates phospholipase D-dependent phosphatidylcholine hydrolysis, Rho translocation, de novo phospholipid synthesis, and diacylglycerol/protein kinase C signaling in L6 myotubes.. Endocrinology. 137(7). 3014–3020. 37 indexed citations
15.
Standaert, Mary L., Gautam Bandyopadhyay, Lamar Galloway, & Robert V. Farese. (1996). Effects of phorbol esters on insulin‐induced activation of phosphatidylinositol 3‐kinase, glucose transport, and glycogen synthase in rat adipocytes. FEBS Letters. 388(1). 26–28. 17 indexed citations
16.
Standaert, Mary L., A. Avignon, John C. Watson, et al.. (1996). Insulin Translocates PKC-ɛ and Phorbol Esters Induce and Persistently Translocate PKC-β in BC3H-1 Myocytes. Cellular Signalling. 8(4). 313–316. 11 indexed citations
17.

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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