Malcolm J. Saxton

859 citations
11 papers · 656 indexed · h-index 10
Topics
Advanced Proteomics Techniques and Applications (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Mass Spectrometry Techniques and Applications (3 papers)

In The Last Decade

Malcolm J. Saxton

11 papers receiving 646 citations

Peers

Malcolm J. Saxton
Comparison fields: 5 of 88
  • Physiology 343
  • Molecular Biology 333
  • Cellular and Molecular Neuroscience 121
  • Cell Biology 86
  • Neurology 74
Replace Devkee M. Vadukul with:
Devkee M. Vadukul United Kingdom
Juan Fan United Kingdom
Romina Hofele Germany
Riikka‐Liisa Uronen Finland
Jennifer A. Macdonald United Kingdom
María José Benítez Spain
Daniel J. Colacurcio United States
Yong Shen China
Anjli Venkateswaran United States
Ana Rita Costa Portugal
Malcolm J. Saxton relative to Devkee M. Vadukul United Kingdom Devkee M. Vadukul's profile →
Citations per field
00.5×10×13.5×
Devkee M. Vadukul · 1×
Citations per year

Countries citing papers authored by Malcolm J. Saxton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Malcolm J. Saxton

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm J. Saxton. A scholar is included among the top collaborators of Malcolm J. Saxton 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 Malcolm J. Saxton. Malcolm J. Saxton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 17
2 28
3 12
4 20
5 51
6 30
7 77
8 357
9 38
10 22
11 4

About Malcolm J. Saxton

Malcolm J. Saxton is a scholar working on Spectroscopy, Biochemistry and Microbiology, having authored 11 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Physiology (343 citations), Neurology (70 citations) and Cellular and Molecular Neuroscience (121 citations). Malcolm J. Saxton has collaborated with scholars based in United Kingdom, Denmark and Belgium. Frequent co-authors include Brian H. Anderton, Diane P. Hanger, Selina Wray, Anjan Seereeram, C. Hugh Reynolds, Helen L. Byers, Kit‐Yi Leung, Malcolm Ward, Rainer Cramer and Mikael B. Caspersen. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Journal of Neurochemistry.

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.

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