Christopher G. Proud
- Molecular Biology top 0.1%
- Cell Biology top 0.1%
- Physiology top 0.5%
- Epidemiology top 1%
- Immunology top 1%
- Co-authors
- Xuemin WangGareth J. BrowneGavin I. WelshNicholas T. RedpathGert C. ScheperAndrew R. TeeAndrea FlynnNigel T. Price
- Topics
- PI3K/AKT/mTOR signaling in cancer (110 papers)RNA and protein synthesis mechanisms (85 papers)Polyamine Metabolism and Applications (69 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- United KingdomAustraliaCanada
In The Last Decade
Christopher G. Proud
342 papers receiving 22.6k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 17.6k
- Cell Biology 3.7k
- Physiology 2.4k
- Epidemiology 1.9k
- Immunology 1.8k
Countries citing papers authored by Christopher G. Proud
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
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
| # | 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 |
About Christopher G. Proud
Christopher G. Proud is a scholar working on Molecular Biology, Cell Biology and Immunology, having authored 346 papers that have together received 22.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (110 papers), RNA and protein synthesis mechanisms (85 papers) and Polyamine Metabolism and Applications (69 papers). The work is most often cited by research in Molecular Biology (17.6k citations), Cell Biology (3.7k citations) and Aging (346 citations). Christopher G. Proud has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent 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. Their work appears in journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.
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.