Michael Spencer

1.5k total citations
15 papers, 1.1k citations indexed

About

Michael Spencer is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Michael Spencer has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in Michael Spencer's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Retinoids in leukemia and cellular processes (3 papers). Michael Spencer is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (5 papers) and Retinoids in leukemia and cellular processes (3 papers). Michael Spencer collaborates with scholars based in United States and Japan. Michael Spencer's co-authors include Beibei Zhu, Philip A. Kern, Charlotte A. Peterson, Reşat Ünal, Neda Rasouli, Aiwei Yao‐Borengasser, Robert E. McGehee, Douglas Andres, Haipeng Shao and Daniel J. Noonan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Spencer

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Spencer United States 11 452 440 361 196 149 15 1.1k
Elyisha A. Hanniman Canada 7 370 0.8× 549 1.2× 334 0.9× 136 0.7× 139 0.9× 8 1.1k
Phi Villageois France 17 732 1.6× 463 1.1× 856 2.4× 216 1.1× 71 0.5× 25 1.7k
Marion Peyrou Spain 18 656 1.5× 577 1.3× 586 1.6× 154 0.8× 83 0.6× 33 1.5k
Christopher Church United States 15 947 2.1× 677 1.5× 502 1.4× 243 1.2× 98 0.7× 22 1.5k
Niclas Franck Sweden 12 397 0.9× 439 1.0× 405 1.1× 109 0.6× 109 0.7× 16 1.0k
Chelsea Hepler United States 18 1.2k 2.7× 792 1.8× 455 1.3× 301 1.5× 130 0.9× 23 1.6k
Chien‐Min Hung Taiwan 11 512 1.1× 384 0.9× 344 1.0× 153 0.8× 50 0.3× 23 939
Diti Chatterjee Bhowmick United States 10 635 1.4× 403 0.9× 320 0.9× 167 0.9× 87 0.6× 18 1.0k
Ekaterina Chernogubova Sweden 19 356 0.8× 169 0.4× 398 1.1× 139 0.7× 76 0.5× 32 925
Jillian L. Rourke Canada 13 281 0.6× 510 1.2× 334 0.9× 170 0.9× 160 1.1× 20 1.1k

Countries citing papers authored by Michael Spencer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Spencer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Spencer

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

All Works

15 of 15 papers shown
1.
Spencer, Michael, et al.. (2021). 925 Utilizing multiplex immunofluorescence to explore the epithelial-mesenchymal transition in breast, ovarian cancers. SHILAP Revista de lepidopterología. A970–A970. 1 indexed citations
2.
Walton, R. Grace, Beibei Zhu, Reşat Ünal, et al.. (2015). Increasing Adipocyte Lipoprotein Lipase Improves Glucose Metabolism in High Fat Diet-induced Obesity. Journal of Biological Chemistry. 290(18). 11547–11556. 53 indexed citations
3.
Spencer, Michael, Lin Yang, Akosua Adu, et al.. (2014). Pioglitazone Treatment Reduces Adipose Tissue Inflammation through Reduction of Mast Cell and Macrophage Number and by Improving Vascularity. PLoS ONE. 9(7). e102190–e102190. 46 indexed citations
4.
Spencer, Michael, Brian S. Finlin, Reşat Ünal, et al.. (2013). Omega-3 Fatty Acids Reduce Adipose Tissue Macrophages in Human Subjects With Insulin Resistance. Diabetes. 62(5). 1709–1717. 147 indexed citations
5.
Spencer, Michael, Reşat Ünal, Beibei Zhu, et al.. (2011). Adipose Tissue Extracellular Matrix and Vascular Abnormalities in Obesity and Insulin Resistance. The Journal of Clinical Endocrinology & Metabolism. 96(12). E1990–E1998. 227 indexed citations
6.
Spencer, Michael, Aiwei Yao‐Borengasser, Reşat Ünal, et al.. (2010). Adipose tissue macrophages in insulin-resistant subjects are associated with collagen VI and fibrosis and demonstrate alternative activation. American Journal of Physiology-Endocrinology and Metabolism. 299(6). E1016–E1027. 348 indexed citations
7.
Theodosiou, Maria, James R. Monaghan, Michael Spencer, S. Randal Voss, & Daniel J. Noonan. (2007). Isolation and characterization of axolotl NPDC-1 and its effects on retinoic acid receptor signaling. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 147(2). 260–270. 3 indexed citations
8.
Jia, Sujuan, Marina V. Omelchenko, Donita Garland, et al.. (2007). Duplicated gelsolin family genes in zebrafish: a novel scinderin‐like gene ( scinla ) encodes the major corneal crystallin. The FASEB Journal. 21(12). 3318–3328. 23 indexed citations
9.
Spencer, Michael, Amy N. Riesenberg, & Nadean L. Brown. (2006). Pax6 directly regulates the expression of Math5 during retinal ganglion cell differentiation. Developmental Biology. 295(1). 370–370. 1 indexed citations
10.
Harrison, Susan M., Jennifer L. Rudolph, Michael Spencer, et al.. (2005). Activated RIC, a small GTPase, genetically interacts with the Ras pathway and calmodulin during Drosophila development. Developmental Dynamics. 232(3). 817–826. 11 indexed citations
11.
Spencer, Michael, Maria Theodosiou, & Daniel J. Noonan. (2004). NPDC-1, a Novel Regulator of Neuronal Proliferation, Is Degraded by the Ubiquitin/Proteasome System through a PEST Degradation Motif. Journal of Biological Chemistry. 279(35). 37069–37078. 58 indexed citations
12.
Rovescalli, A, Brian A. Mozer, Shuhua Yu, et al.. (2004). Genes required for Drosophila nervous system development identified by RNA interference. Proceedings of the National Academy of Sciences. 101(46). 16216–16221. 49 indexed citations
13.
Henry, Kenneth W., Michael Spencer, Maria Theodosiou, Dingyuan Lou, & Daniel J. Noonan. (2003). A neuronal-specific differentiation protein that directly modulates retinoid receptor transcriptional activation. PubMed. 1(1). 7–7. 6 indexed citations
14.
Spencer, Michael, Haipeng Shao, & Douglas Andres. (2002). Induction of Neurite Extension and Survival in Pheochromocytoma Cells by the Rit GTPase. Journal of Biological Chemistry. 277(23). 20160–20168. 47 indexed citations
15.
Spencer, Michael, Haipeng Shao, H. Michael Tucker, & Douglas Andres. (2002). Nerve Growth Factor-dependent Activation of the Small GTPase Rin. Journal of Biological Chemistry. 277(20). 17605–17615. 30 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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