Christopher G. Proud

32.2k total citations · 3 hit papers
346 papers, 22.9k citations indexed

About

Christopher G. Proud is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Christopher G. Proud has authored 346 papers receiving a total of 22.9k indexed citations (citations by other indexed papers that have themselves been cited), including 301 papers in Molecular Biology, 41 papers in Cell Biology and 29 papers in Immunology. Recurrent topics in Christopher G. Proud's work include PI3K/AKT/mTOR signaling in cancer (110 papers), RNA and protein synthesis mechanisms (85 papers) and Polyamine Metabolism and Applications (69 papers). Christopher G. Proud is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (110 papers), RNA and protein synthesis mechanisms (85 papers) and Polyamine Metabolism and Applications (69 papers). Christopher G. Proud collaborates with scholars based in United Kingdom, Australia and Canada. Christopher G. Proud's co-authors include Xuemin Wang, Gareth J. Browne, Gavin I. Welsh, Nicholas T. Redpath, Gert C. Scheper, Andrew R. Tee, Andrea Flynn, Nigel T. Price, Philip Cohen and Emily Foulstone and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Christopher G. Proud

342 papers receiving 22.6k citations

Hit Papers

The mTOR Pathway in the Control of Protein Synthesis 2006 2026 2012 2019 2006 2023 2024 200 400 600

Peers

Christopher G. Proud
Comparison fields: 5 of 162
  • Molecular Biology 17.6k
  • Cell Biology 3.7k
  • Physiology 2.4k
  • Epidemiology 1.9k
  • Immunology 1.8k
Replace George Thomas with:
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Michael A. Frohman United States
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Citations per field, relative to Christopher G. Proud
Christopher G. Proud · 1×
Citations per year, relative to Christopher G. Proud
Christopher G. Proud · 1×

Countries citing papers authored by Christopher G. Proud

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G. Proud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher G. Proud

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Proud. A scholar is included among the top collaborators of Christopher G. Proud 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 G. Proud. Christopher G. Proud 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 0
6 16
7 15
8 74
9 5
10 21
11 9
12 20
13
TCTP is induced early in colorectal cancer, it is translationally regulated via the Akt/mTORC1 pathway, and it contributes to the resistance of HCT116 colon cancer cells to 5-FU and oxaliplatin
1
14 37
15 17
16 156
17 149
18 73
19 28
20 73

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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