Malcolm J. Saxton
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Chemical Synthesis and Analysis 1
- Biochemical and Structural Characterization 1
-
- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
- Analytical Chemistry and Chromatography 2
- Co-authors
- Selina Wray (2 shared papers)Diane P. Hanger (2 shared papers)Brian H. Anderton (2 shared papers)C. Hugh Reynolds (1 shared paper)Helen L. Byers (1 shared paper)Kit‐Yi Leung (1 shared paper)Malcolm Ward (1 shared paper)Anjan Seereeram (1 shared paper)
- Journals
- Microbial Cell Factories (2 papers)Journal of Chromatography A (2 papers)Organic & Biomolecular Chemistry (1 paper)Journal of Biological Chemistry (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United KingdomDenmarkBelgium
In The Last Decade
Malcolm J. Saxton
11 papers receiving 646 citations
Peers
Comparison fields: 5 of 88
- Physiology 343
- Neurology 70
- Cellular and Molecular Neuroscience 121
- Cell Biology 86
- Neurology 74
Countries citing papers authored by Malcolm J. Saxton
This map shows the geographic impact of Malcolm J. Saxton'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 Malcolm J. Saxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm J. Saxton more than expected).
Fields of papers citing papers by Malcolm J. Saxton
This network shows the impact of papers produced by Malcolm J. Saxton. 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 Malcolm J. Saxton. The network helps show where Malcolm J. Saxton may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm J. Saxton, 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 | 2007 | 357 | |
| 2 | 2008 | 77 | |
| 3 | 2015 | 51 | |
| 4 | 2005 | 38 | |
| 5 | 2010 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2005 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2019 | 17 | |
| 10 | 2017 | 12 | |
| 11 | 2004 | 4 |
About Malcolm J. Saxton
Malcolm J. Saxton is a scholar working on Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Physiology, having authored 11 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Advanced Chemical Sensor Technologies (2 papers), Alzheimer's disease research and treatments (2 papers), Analytical Chemistry and Chromatography (2 papers), Chemical Synthesis and Analysis (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Physiology (343 citations), Neurology (70 citations), Cellular and Molecular Neuroscience (121 citations), Cell Biology (86 citations) and Neurology (74 citations). Malcolm J. Saxton has collaborated with scholars based in United Kingdom, Denmark and Belgium. Frequent co-authors include Selina Wray, Diane P. Hanger, Brian H. Anderton, C. Hugh Reynolds, Helen L. Byers, Kit‐Yi Leung, Malcolm Ward, Anjan Seereeram, Rainer Cramer and Mikael B. Caspersen. Their work appears in journals such as Microbial Cell Factories, Journal of Chromatography A, Organic & Biomolecular Chemistry, Journal of Biological Chemistry and PROTEOMICS.
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.