Christopher G. Armstrong
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling 5
- Melanoma and MAPK Pathways 4
- Biochemical and Molecular Research 3
- PI3K/AKT/mTOR signaling in cancer 3
- Signaling Pathways in Disease 3
- Aging top 10%
- Cell Biology top 10%
- Rheumatology top 10%
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- Computational Drug Discovery Methods 2
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- Invertebrate Immune Response Mechanisms 2
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- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Philip CohenPatricia T.W. CohenNick MorriceDario R. AlessiAndrew D. PatersonMichel GoedertMartin DohertyA Currie
- Cited by
- Molecular BiologyAgingCell Biology
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Christopher G. Armstrong
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.1k
- Aging 26
- Cell Biology 205
- Cellular and Molecular Neuroscience 157
- Rheumatology 108
Countries citing papers authored by Christopher G. Armstrong
This map shows the geographic impact of Christopher G. Armstrong'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. Armstrong 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. Armstrong more than expected).
Fields of papers citing papers by Christopher G. Armstrong
This network shows the impact of papers produced by Christopher G. Armstrong. 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. Armstrong. The network helps show where Christopher G. Armstrong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher G. Armstrong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2015 | 1 | |
| 5 | 2011 | 95 | |
| 6 | 2006 | 251 | |
| 7 | 2003 | 63 | |
| 8 | 2002 | 83 | |
| 9 | 2002 | 16 | |
| 10 | 2002 | 30 | |
| 11 | 2000 | 193 | |
| 12 | 2000 | 38 | |
| 13 | 1999 | 117 | |
| 14 | 1998 | 9 | |
| 15 | 1998 | 76 | |
| 16 | 1997 | 90 | |
| 17 | 1997 | 88 | |
| 18 | 1996 | 31 | |
| 19 | 1996 | 84 | |
| 20 | 1995 | 27 |
About Christopher G. Armstrong
Christopher G. Armstrong is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Melanoma and MAPK Pathways (4 papers), Biochemical and Molecular Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Signaling Pathways in Disease (3 papers), Computational Drug Discovery Methods (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Aging (26 citations) and Cell Biology (205 citations). Christopher G. Armstrong has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Philip Cohen, Patricia T.W. Cohen, Nick Morrice, Dario R. Alessi, Andrew D. Paterson, Patricia T.W. Cohen, Michel Goedert, Martin Doherty, A Currie and Gareth J. Browne. Their work appears in journals such as Journal of Biological Chemistry, Biomaterials and Biochemistry.
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.