Thomas E. Meigs

1.2k total citations
23 papers, 980 citations indexed

About

Thomas E. Meigs is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Thomas E. Meigs has authored 23 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Thomas E. Meigs's work include Protein Kinase Regulation and GTPase Signaling (12 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Cancer-related gene regulation (5 papers). Thomas E. Meigs is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (12 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Cancer-related gene regulation (5 papers). Thomas E. Meigs collaborates with scholars based in United States, Spain and Norway. Thomas E. Meigs's co-authors include Patrick J. Casey, Robert Simoni, Daniel D. Kaplan, Patrick Kelly, Alexander Miron, Jennifer L. Glick, Robert Brackenbury, Mary Fedor‐Chaiken, David D. McKee and Timothy A. Fields and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Thomas E. Meigs

23 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Meigs United States 15 813 225 97 91 89 23 980
Robert Erdman United States 19 562 0.7× 276 1.2× 68 0.7× 79 0.9× 158 1.8× 25 986
Peter J. Lockyer United Kingdom 17 1.1k 1.4× 440 2.0× 194 2.0× 166 1.8× 76 0.9× 22 1.5k
Cornelia Czupalla Germany 17 762 0.9× 249 1.1× 63 0.6× 98 1.1× 44 0.5× 23 1.0k
Joanne Goodnight United States 15 1.2k 1.5× 239 1.1× 120 1.2× 171 1.9× 52 0.6× 28 1.5k
Masahiro Tominaga Japan 12 707 0.9× 219 1.0× 166 1.7× 66 0.7× 51 0.6× 25 960
Heinz Haubruck Germany 14 906 1.1× 440 2.0× 83 0.9× 139 1.5× 131 1.5× 19 1.6k
Kum-Joo Shin South Korea 11 533 0.7× 123 0.5× 69 0.7× 65 0.7× 62 0.7× 14 739
Yuki Ohkawa Japan 26 1.2k 1.5× 304 1.4× 59 0.6× 134 1.5× 54 0.6× 62 1.7k
Gabriele Rincke Germany 10 905 1.1× 143 0.6× 93 1.0× 169 1.9× 46 0.5× 12 1.2k
Shengyu Yang United States 13 714 0.9× 136 0.6× 196 2.0× 196 2.2× 93 1.0× 18 1.2k

Countries citing papers authored by Thomas E. Meigs

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Meigs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Meigs. 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 Thomas E. Meigs. The network helps show where Thomas E. Meigs may publish in the future.

Co-authorship network of co-authors of Thomas E. Meigs

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Meigs. A scholar is included among the top collaborators of Thomas E. Meigs 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 Thomas E. Meigs. Thomas E. Meigs 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.
White, Nicholas, et al.. (2022). Overexpressed Gα13 activates serum response factor through stoichiometric imbalance with Gβγ and mislocalization to the cytoplasm. Cellular Signalling. 102. 110534–110534. 3 indexed citations
2.
Meigs, Thomas E., et al.. (2020). Divergent C-terminal motifs in Gα12 and Gα13 provide distinct mechanisms of effector binding and SRF activation. Cellular Signalling. 72. 109653–109653. 4 indexed citations
3.
Meigs, Thomas E., et al.. (2016). A Gα12-specific Binding Domain in AKAP-Lbc and p114RhoGEF. PubMed. 11. 3–3. 10 indexed citations
4.
Temple, Brenda, et al.. (2014). Gα12 Structural Determinants of Hsp90 Interaction Are Necessary for Serum Response Element–Mediated Transcriptional Activation. Molecular Pharmacology. 85(4). 586–597. 10 indexed citations
5.
Meigs, Thomas E., et al.. (2013). Determinants at the N- and C-termini of Gα<sub>12</sub> required for activation of Rho-mediated signaling. PubMed. 8(1). 3–3. 8 indexed citations
7.
Yu, Wanfeng, et al.. (2010). Identification of polycystin-1 and Gα12 binding regions necessary for regulation of apoptosis. Cellular Signalling. 23(1). 213–221. 20 indexed citations
8.
Meigs, Thomas E. & Daniel D. Kaplan. (2008). Isolation of Centrosomes from Cultured Mammalian Cells. Cold Spring Harbor Protocols. 2008(8). pdb.prot5039–pdb.prot5039. 8 indexed citations
9.
Zhu, Deguang, et al.. (2007). Domains Necessary for Gα12 Binding and Stimulation of Protein Phosphatase-2A (PP2A): Is Gα12 a Novel Regulatory Subunit of PP2A?. Molecular Pharmacology. 71(5). 1268–1276. 19 indexed citations
10.
Andreeva, Alexandra V., Mikhail A. Kutuzov, Rita Vaiškunaite, et al.. (2005). Gα12 Interaction with αSNAP Induces VE-cadherin Localization at Endothelial Junctions and Regulates Barrier Function. Journal of Biological Chemistry. 280(34). 30376–30383. 22 indexed citations
11.
Meigs, Thomas E., et al.. (2005). Selective Uncoupling of Gα12 from Rho-mediated Signaling. Journal of Biological Chemistry. 280(18). 18049–18055. 35 indexed citations
12.
Zhu, Deguang, Kenneth S. Kosik, Thomas E. Meigs, Vijay Yanamadala, & Bradley M. Denker. (2004). Gα12 Directly Interacts with PP2A. Journal of Biological Chemistry. 279(53). 54983–54986. 36 indexed citations
13.
Kaplan, Daniel D., Thomas E. Meigs, Patrick Kelly, & Patrick J. Casey. (2004). Identification of a Role for β-Catenin in the Establishment of a Bipolar Mitotic Spindle. Journal of Biological Chemistry. 279(12). 10829–10832. 102 indexed citations
14.
Fedor‐Chaiken, Mary, Thomas E. Meigs, Daniel D. Kaplan, & Robert Brackenbury. (2003). Two Regions of Cadherin Cytoplasmic Domains Are Involved in Suppressing Motility of a Mammary Carcinoma Cell Line. Journal of Biological Chemistry. 278(52). 52371–52378. 14 indexed citations
15.
Meigs, Thomas E., Mary Fedor‐Chaiken, Daniel D. Kaplan, Robert Brackenbury, & Patrick J. Casey. (2002). Gα12 and Gα13 Negatively Regulate the Adhesive Functions of Cadherin. Journal of Biological Chemistry. 277(27). 24594–24600. 104 indexed citations
16.
Kaplan, Daniel D., Thomas E. Meigs, & Patrick J. Casey. (2001). Distinct Regions of the Cadherin Cytoplasmic Domain Are Essential for Functional Interaction with Gα12 and β-Catenin. Journal of Biological Chemistry. 276(47). 44037–44043. 39 indexed citations
17.
Glick, Jennifer L., Thomas E. Meigs, Alexander Miron, & Patrick J. Casey. (1998). RGSZ1, a Gz-selective Regulator of G Protein Signaling Whose Action Is Sensitive to the Phosphorylation State of Gzα. Journal of Biological Chemistry. 273(40). 26008–26013. 113 indexed citations
18.
Meigs, Thomas E. & Robert Simoni. (1997). Farnesol as a Regulator of HMG-CoA Reductase Degradation: Characterization and Role of Farnesyl Pyrophosphatase. Archives of Biochemistry and Biophysics. 345(1). 1–9. 91 indexed citations
19.
Meigs, Thomas E., et al.. (1996). Regulation of 3-Hydroxy-3-methylglutaryl-Coenzyme A Reductase Degradation by the Nonsterol Mevalonate Metabolite Farnesol in Vivo. Journal of Biological Chemistry. 271(14). 7916–7922. 118 indexed citations
20.
Meigs, Thomas E., Steven W. Sherwood, & Robert Simoni. (1995). Farnesyl Acetate, a Derivative of an Isoprenoid of the Mevalonate Pathway, Inhibits DNA Replication in Hamster and Human Cells. Experimental Cell Research. 219(2). 461–470. 16 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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