Mark Peggie
- Immunology top 2%
- interferon and immune responses 11
- Immune Response and Inflammation 8
- Cancer Research top 2%
- NF-κB Signaling Pathways 12
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 12
- Metabolism, Diabetes, and Cancer 8
- RNA Research and Splicing 7
- Protein Kinase Regulation and GTPase Signaling 6
- Cell Biology top 2%
- Aging top 5%
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- Autophagy in Disease and Therapy 6
- Co-authors
- Philip CohenMark WindheimKristopher ClarkKei SakamotoJ. Simon C. ArthurNick MorriceNicholas A. MorriceDario R. Alessi
- Journals
- Biochemical Journal (17 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Mark Peggie
56 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 1.4k
- Cancer Research 947
- Molecular Biology 4.0k
- Cell Biology 689
- Aging 59
Countries citing papers authored by Mark Peggie
This map shows the geographic impact of Mark Peggie'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 Mark Peggie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Peggie more than expected).
Fields of papers citing papers by Mark Peggie
This network shows the impact of papers produced by Mark Peggie. 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 Mark Peggie. The network helps show where Mark Peggie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Peggie, 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 | 2018 | 34 | |
| 2 | 2017 | 88 | |
| 3 | 2016 | 86 | |
| 4 | 2015 | 135 | |
| 5 | 2015 | 61 | |
| 6 | 2015 | 199 | |
| 7 | 2013 | 24 | |
| 8 | The Ancient Drug Salicylate Directly Activates AMP-Activated Protein Kinasebreakdown → | 2012 | 590 |
| 9 | 2012 | 35 | |
| 10 | 2012 | 13 | |
| 11 | 2012 | 18 | |
| 12 | 2010 | 154 | |
| 13 | 2009 | 300 | |
| 14 | 2008 | 88 | |
| 15 | 2008 | 6 | |
| 16 | 2008 | 137 | |
| 17 | 2006 | 36 | |
| 18 | 2005 | 189 | |
| 19 | 2005 | 74 | |
| 20 | 1991 | 21 |
About Mark Peggie
Mark Peggie is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 56 papers that have together received 5.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), NF-κB Signaling Pathways (12 papers), interferon and immune responses (11 papers), Metabolism, Diabetes, and Cancer (8 papers), Immune Response and Inflammation (8 papers), RNA Research and Splicing (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Immunology (1.4k citations), Cancer Research (947 citations) and Molecular Biology (4.0k citations). Mark Peggie has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Philip Cohen, Mark Windheim, Kristopher Clark, Kei Sakamoto, J. Simon C. Arthur, Nick Morrice, Nicholas A. Morrice, Dario R. Alessi, C. James Hastie and Chrisostomos Prodromou. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The EMBO Journal and FEBS Letters.
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.