Mark G. H. Scott
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- Neuropeptides and Animal Physiology 12
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 24
- Protein Kinase Regulation and GTPase Signaling 13
- PI3K/AKT/mTOR signaling in cancer 7
- Lipid Membrane Structure and Behavior 4
- Microbiology top 5%
- Cell Biology top 5%
- Cellular transport and secretion 4
- Immunology and Allergy top 10%
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- Monoclonal and Polyclonal Antibodies Research 4
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- Chemokine receptors and signaling 3
- Co-authors
- Stéfano MarulloAlexandre BenmerahJulie A. PitcherHervé EnslenCatherine Labbé‐JulliéOlivier MuntanerVincenzo PierottiCaroline Swan
- Partner nations
- FranceUnited KingdomCanada
In The Last Decade
Mark G. H. Scott
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 558
- Molecular Biology 1.3k
- Microbiology 116
- Cell Biology 255
- Immunology and Allergy 59
Countries citing papers authored by Mark G. H. Scott
This map shows the geographic impact of Mark G. H. Scott'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 G. H. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. H. Scott more than expected).
Fields of papers citing papers by Mark G. H. Scott
This network shows the impact of papers produced by Mark G. H. Scott. 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 G. H. Scott. The network helps show where Mark G. H. Scott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark G. H. Scott, 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 | 2023 | 4 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 32 | |
| 7 | 2018 | 25 | |
| 8 | 2017 | 37 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 27 | |
| 11 | 2014 | 21 | |
| 12 | 2011 | 55 | |
| 13 | 2008 | 92 | |
| 14 | 2008 | 40 | |
| 15 | 2007 | 29 | |
| 16 | 2005 | 84 | |
| 17 | 2004 | 2 | |
| 18 | 2003 | 40 | |
| 19 | 2002 | 94 | |
| 20 | 1999 | 31 |
About Mark G. H. Scott
Mark G. H. Scott is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Virology, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (24 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Neuropeptides and Animal Physiology (12 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (558 citations), Molecular Biology (1.3k citations) and Microbiology (116 citations). Mark G. H. Scott has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Stéfano Marullo, Alexandre Benmerah, Julie A. Pitcher, Hervé Enslen, Catherine Labbé‐Jullié, Olivier Muntaner, Vincenzo Pierotti, Caroline Swan, Ian P. Hall and Cédric Boularan. Their work appears in journals such as Journal of Biological Chemistry, Blood, Traffic, Nature Communications and International Journal of Molecular Sciences.
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.