Christopher M. Moxham

1.0k total citations
10 papers, 677 citations indexed

About

Christopher M. Moxham is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Christopher M. Moxham has authored 10 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Christopher M. Moxham's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Metabolism, Diabetes, and Cancer (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Christopher M. Moxham is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Metabolism, Diabetes, and Cancer (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Christopher M. Moxham collaborates with scholars based in United States. Christopher M. Moxham's co-authors include Craig C. Malbon, Yaacov Hod, Jonathan A. Lee, Daniel J. Sall, Mark Uhlik, Dirk Tomandl, Roger J. Davis, Hsien‐yu Wang, C C Malbon and Jiang‐Fan Chen and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Christopher M. Moxham

10 papers receiving 662 citations

Peers

Christopher M. Moxham

PHYSI

SURGE

CMN

EDM

Terry M. Pederson United States

Mi Ra Chang United States

Kari Callaway United States

Kristine Griffett United States

Mark Bushfield United Kingdom

Corinne E. Augelli‐Szafran United States

Sharon L. Wolda United States

Silvi Luell United States

Monica A. Istrate United States

Jim D. Durbin United States

Terry M. Pederson United States

Christopher M. Moxham

431 ×0.9

266 ×2.3

PHYSI

88 ×0.8

SURGE

60 ×0.8

CMN

56 ×0.8

EDM

Citations per year, relative to Christopher M. Moxham Christopher M. Moxham (= 1×) peers Terry M. Pederson

Countries citing papers authored by Christopher M. Moxham

Since Specialization

Citations

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

Fields of papers citing papers by Christopher M. Moxham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Moxham. 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 Christopher M. Moxham. The network helps show where Christopher M. Moxham may publish in the future.

Co-authorship network of co-authors of Christopher M. Moxham

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Lee, Jonathan A., Mark Uhlik, Christopher M. Moxham, Dirk Tomandl, & Daniel J. Sall. (2012). Modern Phenotypic Drug Discovery Is a Viable, Neoclassic Pharma Strategy. Journal of Medicinal Chemistry. 55(10). 4527–4538. 134 indexed citations

Fischer, Christian, Susan L. Zultanski, Hua Zhou, et al.. (2012). Triazoloamides as potent γ-secretase modulators with reduced hERG liability. Bioorganic & Medicinal Chemistry Letters. 22(9). 3140–3146. 13 indexed citations

Lee, Jonathan A., Shaoyou Chu, Francis S. Willard, et al.. (2011). Open Innovation for Phenotypic Drug Discovery: The PD2 Assay Panel. SLAS DISCOVERY. 16(6). 588–602. 46 indexed citations

Kariv, Ilona, et al.. (2009). Development of a Cell-Based Assay for Measurement of c-Met Phosphorylation Using AlphaScreenTM Technology and High-Content Imaging Analysis. SLAS DISCOVERY. 14(4). 404–411. 4 indexed citations

Galvin‐Parton, Patricia, Xiaohong Chen, Christopher M. Moxham, & Craig C. Malbon. (1997). Induction of Gαq-specific Antisense RNA in Vivo Causes Increased Body Mass and Hyperadiposity. Journal of Biological Chemistry. 272(7). 4335–4341. 25 indexed citations

Chen, Jiang‐Fan, Jun Guo, Christopher M. Moxham, Hsien‐yu Wang, & C C Malbon. (1997). Conditional, tissue-specific expression of Q205L G αi2 in vivo mimics insulin action. Journal of Molecular Medicine. 75(4). 283–289. 47 indexed citations

Moxham, Christopher M., et al.. (1996). jun N-terminal Kinase Mediates Activation of Skeletal Muscle Glycogen Synthase by Insulin in Vivo. Journal of Biological Chemistry. 271(48). 30765–30773. 94 indexed citations

Moxham, Christopher M. & Craig C. Malbon. (1996). Insulin action impaired by deficiency of the G-protein subunit Giα2. Nature. 379(6568). 840–844. 174 indexed citations

Moxham, Christopher M., Yaacov Hod, & Craig C. Malbon. (1993). G_iα2 mediates the inhibitory regulation of adenylylcyclase in vivo: Analysis in transgenic mice with G_iα2 suppressed by inducible antisense RNA. Developmental Genetics. 14(4). 266–273. 36 indexed citations

10.

Moxham, Christopher M., Yaacov Hod, & Craig C. Malbon. (1993). Induction of Gα _iI2 -Specific Antisense RNA in Vivo Inhibits Neonatal Growth. Science. 260(5110). 991–995. 104 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.

Explore authors with similar magnitude of impact