Larry D. Spears

903 total citations
11 papers, 330 citations indexed

About

Larry D. Spears is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Larry D. Spears has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Larry D. Spears's work include Metabolism, Diabetes, and Cancer (6 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Larry D. Spears is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Larry D. Spears collaborates with scholars based in United States, Japan and Canada. Larry D. Spears's co-authors include Clay F. Semenkovich, Haowei Song, Katsuhiko Funai, Irfan J. Lodhi, Li Yin, Samuel Klein, Jonathan S. Fisher, James Kain Ching, Kohsuke Kanekura and Jana Mahadevan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetes.

In The Last Decade

Larry D. Spears

11 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larry D. Spears United States 7 202 123 75 69 57 11 330
Chihiro Satake Japan 6 189 0.9× 240 2.0× 43 0.6× 160 2.3× 104 1.8× 10 425
Kimber Converso‐Baran United States 8 144 0.7× 121 1.0× 74 1.0× 48 0.7× 24 0.4× 14 368
Chunmei Yang United States 11 300 1.5× 192 1.6× 117 1.6× 148 2.1× 34 0.6× 15 501
Slavena A. Mandic Sweden 8 175 0.9× 147 1.2× 30 0.4× 126 1.8× 68 1.2× 8 326
Jonathan R. Davey Australia 10 337 1.7× 151 1.2× 135 1.8× 55 0.8× 30 0.5× 13 465
Katsuki Kobayashi Japan 7 617 3.1× 76 0.6× 79 1.1× 64 0.9× 70 1.2× 8 737
Frances Moore United Kingdom 8 369 1.8× 45 0.4× 69 0.9× 83 1.2× 18 0.3× 11 465
Eva Sammels Belgium 8 273 1.4× 111 0.9× 30 0.4× 37 0.5× 127 2.2× 10 442
Baroj Abdulkarim Switzerland 6 283 1.4× 115 0.9× 36 0.5× 216 3.1× 119 2.1× 12 479
S. Wei China 7 319 1.6× 175 1.4× 36 0.5× 86 1.2× 44 0.8× 14 440

Countries citing papers authored by Larry D. Spears

Since Specialization
Citations

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

Fields of papers citing papers by Larry D. Spears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry D. Spears. 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 Larry D. Spears. The network helps show where Larry D. Spears may publish in the future.

Co-authorship network of co-authors of Larry D. Spears

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

All Works

11 of 11 papers shown
1.
Adamson, Samantha E., Sangeeta Adak, Max C. Petersen, et al.. (2024). Decreased sarcoplasmic reticulum phospholipids in human skeletal muscle are associated with metabolic syndrome. Journal of Lipid Research. 65(3). 100519–100519. 1 indexed citations
2.
Clark, Amy L., Kohsuke Kanekura, Zeno Lavagnino, et al.. (2017). Targeting Cellular Calcium Homeostasis to Prevent Cytokine-Mediated Beta Cell Death. Scientific Reports. 7(1). 5611–5611. 27 indexed citations
3.
Spears, Larry D., et al.. (2017). A role for ataxia telangiectasia mutated in insulin-independent stimulation of glucose transport.. PubMed. 12. 49–56. 1 indexed citations
4.
Spears, Larry D., et al.. (2016). Chloroquine increases phosphorylation of AMPK and Akt in myotubes. Heliyon. 2(3). e00083–e00083. 13 indexed citations
5.
Funai, Katsuhiko, Irfan J. Lodhi, Larry D. Spears, et al.. (2015). Skeletal Muscle Phospholipid Metabolism Regulates Insulin Sensitivity and Contractile Function. Diabetes. 65(2). 358–370. 96 indexed citations
6.
Lu, Simin, Kohsuke Kanekura, Takashi Hara, et al.. (2014). A calcium-dependent protease as a potential therapeutic target for Wolfram syndrome. Proceedings of the National Academy of Sciences. 111(49). E5292–301. 117 indexed citations
7.
Andrisse, Stanley, et al.. (2013). ATM and GLUT1-S490 Phosphorylation Regulate GLUT1 Mediated Transport in Skeletal Muscle. PLoS ONE. 8(6). e66027–e66027. 34 indexed citations
8.
Spears, Larry D., et al.. (2012). Ataxia telangiectasia mutated (ATM) influences AICAR‐stimulated glucose transport. The FASEB Journal. 26(S1). 1 indexed citations
9.
Ching, James Kain, et al.. (2012). Impaired insulin-stimulated glucose transport in ATM-deficient mouse skeletal muscle. Applied Physiology Nutrition and Metabolism. 38(6). 589–596. 12 indexed citations
10.
Patel, Akshar, et al.. (2011). Ataxia telangiectasia mutated influences cytochrome c oxidase activity. Biochemical and Biophysical Research Communications. 405(4). 599–603. 27 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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