C. Phillips

435 total citations
10 papers, 332 citations indexed

About

C. Phillips is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, C. Phillips has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in C. Phillips's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Chemical Synthesis and Analysis (1 paper). C. Phillips is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Chemical Synthesis and Analysis (1 paper). C. Phillips collaborates with scholars based in United Kingdom, France and United States. C. Phillips's co-authors include F. von Delft, M. Vollmar, O. Gileadi, Marianna Nicoletta Rossi, Rolf Kraehenbuehl, John M. Denu, Ivan Ahel, Dea Slade, Dawei Chen and Susan K. Crosthwaite and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

C. Phillips

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Phillips United Kingdom 6 196 109 65 47 37 10 332
Richard Heng Switzerland 12 256 1.3× 75 0.7× 70 1.1× 15 0.3× 32 0.9× 17 373
Stefan Kernstock Norway 8 281 1.4× 203 1.9× 99 1.5× 82 1.7× 13 0.4× 8 433
Josef Van Damme Denmark 9 268 1.4× 56 0.5× 43 0.7× 13 0.3× 24 0.6× 9 376
Kim Plasman Belgium 11 228 1.2× 108 1.0× 71 1.1× 10 0.2× 72 1.9× 13 372
Yongchan Lee United States 11 300 1.5× 58 0.5× 104 1.6× 40 0.9× 20 0.5× 31 551
Ulrich Goldmann Austria 7 261 1.3× 117 1.1× 66 1.0× 25 0.5× 42 1.1× 10 443
P. Schutz Sweden 7 562 2.9× 96 0.9× 71 1.1× 10 0.2× 27 0.7× 7 640
Christoph Brockmann Germany 12 341 1.7× 104 1.0× 44 0.7× 25 0.5× 11 0.3× 13 414
Frances Potjewyd United States 9 351 1.8× 79 0.7× 35 0.5× 12 0.3× 43 1.2× 14 428
Alison D. Axtman United States 12 299 1.5× 86 0.8× 28 0.4× 24 0.5× 14 0.4× 42 440

Countries citing papers authored by C. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by C. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of C. Phillips. A scholar is included among the top collaborators of C. Phillips 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 C. Phillips. C. Phillips 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.
Roy, Sujit, et al.. (2025). Advancing Hurricane Forecasting With AI Models for Track and Intensity Prediction. Journal of Advances in Modeling Earth Systems. 17(9). 1 indexed citations
2.
Chowdhury, Rasheduzzaman, Rok Sekirnik, Nigel C. Brissett, et al.. (2014). Ribosomal oxygenases are structurally conserved from prokaryotes to humans. Nature. 510(7505). 422–426. 88 indexed citations
3.
Keates, Tracy, C.D.O. Cooper, P. Savitsky, et al.. (2011). Expressing the human proteome for affinity proteomics: optimising expression of soluble protein domains and in vivo biotinylation. New Biotechnology. 29(5). 515–525. 20 indexed citations
4.
Chen, Dawei, M. Vollmar, Marianna Nicoletta Rossi, et al.. (2011). Identification of Macrodomain Proteins as Novel O-Acetyl-ADP-ribose Deacetylases. Journal of Biological Chemistry. 286(15). 13261–13271. 129 indexed citations
5.
Elkins, Jonathan M., C. Gileadi, Leela Shrestha, et al.. (2010). Unusual binding interactions in PDZ domain crystal structures help explain binding mechanisms. Protein Science. 19(4). 731–741. 22 indexed citations
6.
Elkins, Jonathan M., E. Papagrigoriou, G. Berridge, et al.. (2007). Structure of PICK1 and other PDZ domains obtained with the help of self‐binding C‐terminal extensions. Protein Science. 16(4). 683–694. 56 indexed citations
7.
Phillips, C., et al.. (2007). HIV-1 reverse transcriptase structure-based drug design: crystals to clinic. Acta Crystallographica Section A Foundations of Crystallography. 63(a1). s18–s18. 7 indexed citations
8.
Phillips, C., Michael P. Barrett, S. Gover, R. W. F. Le Page, & Margaret Adams. (1993). Preliminary Crystallographic Study of 6-Phosphogluconate Dehydrogenase from Trypanosoma brucei. Journal of Molecular Biology. 233(2). 317–321. 3 indexed citations
9.
Phillips, C. & Robert J. P. Williams. (1965). Principles and non-metals. Oxford University Press eBooks. 1 indexed citations
10.
Paul, Ram Chand, et al.. (1955). Notes. Journal of the Chemical Society (Resumed). 574–574. 5 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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