Christopher W. McAndrew

454 total citations
10 papers, 301 citations indexed

About

Christopher W. McAndrew is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Christopher W. McAndrew has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Christopher W. McAndrew's work include Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers) and Microtubule and mitosis dynamics (3 papers). Christopher W. McAndrew is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (3 papers) and Microtubule and mitosis dynamics (3 papers). Christopher W. McAndrew collaborates with scholars based in United States, Netherlands and United Kingdom. Christopher W. McAndrew's co-authors include Daniel J. Donoghue, April N. Meyer, Martin Haas, David T. Yeung, Denis Josse, Brian J. Bahnson, James D. Nicholson, Daniela A Slavin, David E. Lenz and Douglas M. Cerasoli and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Christopher W. McAndrew

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher W. McAndrew United States 8 202 74 58 51 47 10 301
Grégory Chevillard France 11 272 1.3× 40 0.5× 16 0.3× 27 0.5× 18 0.4× 14 384
Agnieszka Nowak Poland 8 346 1.7× 51 0.7× 56 1.0× 17 0.3× 25 0.5× 39 466
Jun Ye China 10 194 1.0× 21 0.3× 37 0.6× 23 0.5× 72 1.5× 22 335
Jian Yi United States 12 223 1.1× 153 2.1× 26 0.4× 25 0.5× 30 0.6× 20 512
Zhi Ling China 5 232 1.1× 56 0.8× 20 0.3× 25 0.5× 8 0.2× 8 405
Sarah Kreuz Germany 6 249 1.2× 29 0.4× 22 0.4× 15 0.3× 15 0.3× 7 349
Elisabeth Brinkmann United States 9 215 1.1× 49 0.7× 18 0.3× 35 0.7× 216 4.6× 9 473
Ibrahim Z. Ades United States 14 483 2.4× 29 0.4× 16 0.3× 56 1.1× 82 1.7× 26 553
M. Graham United Kingdom 7 299 1.5× 54 0.7× 19 0.3× 137 2.7× 9 0.2× 8 421
Siyue Lou China 11 199 1.0× 42 0.6× 38 0.7× 17 0.3× 11 0.2× 15 351

Countries citing papers authored by Christopher W. McAndrew

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. McAndrew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher W. McAndrew

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

All Works

10 of 10 papers shown
1.
Meyer, April N., Christopher W. McAndrew, Jennifer E. Gilda, et al.. (2013). Tyrosine Phosphorylation Allows Integration of Multiple Signaling Inputs by IKKβ. PLoS ONE. 8(12). e84497–e84497. 4 indexed citations
2.
Boeckmann, Lars, Yoshimitsu Takahashi, Wei-Chun Au, et al.. (2013). Phosphorylation of centromeric histone H3 variant regulates chromosome segregation inSaccharomyces cerevisiae. Molecular Biology of the Cell. 24(12). 2034–2044. 41 indexed citations
3.
Fleming, Jodie M., Erika Ginsburg, Christopher W. McAndrew, et al.. (2012). Characterization of Δ7/11, a functional prolactin-binding protein. Journal of Molecular Endocrinology. 50(1). 79–90. 5 indexed citations
4.
McAndrew, Christopher W., et al.. (2010). The Receptor Tyrosine Kinase FGFR4 Negatively Regulates NF-kappaB Signaling. PLoS ONE. 5(12). e14412–e14412. 48 indexed citations
5.
McAndrew, Christopher W., et al.. (2009). The atypical CDK activator Spy1 regulates the intrinsic DNA damage response and is dependent upon p53 to inhibit apoptosis. Cell Cycle. 8(1). 66–75. 26 indexed citations
6.
Meyer, April N., Christopher W. McAndrew, & Daniel J. Donoghue. (2008). Nordihydroguaiaretic Acid Inhibits an Activated Fibroblast Growth Factor Receptor 3 Mutant and Blocks Downstream Signaling in Multiple Myeloma Cells. Cancer Research. 68(18). 7362–7370. 33 indexed citations
7.
McAndrew, Christopher W., et al.. (2007). Speedy/RINGO Regulation of CDKs in Cell Cycle, Checkpoint Activation and Apoptosis. Cell Cycle. 6(10). 1188–1193. 23 indexed citations
8.
McAndrew, Christopher W., et al.. (2007). Spy1 Enhances Phosphorylation and Degradation of the Cell Cycle Inhibitor p27. Cell Cycle. 6(15). 1937–1945. 28 indexed citations
9.
Slavin, Daniela A, et al.. (2006). Spy1 Expression Prevents Normal Cellular Responses to DNA Damage. Journal of Biological Chemistry. 281(46). 35425–35435. 33 indexed citations
10.
Yeung, David T., Denis Josse, James D. Nicholson, et al.. (2004). Structure/function analyses of human serum paraoxonase (HuPON1) mutants designed from a DFPase-like homology model. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1702(1). 67–77. 60 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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