Matthew S. Macauley

9.1k total citations · 3 hit papers
112 papers, 6.5k citations indexed

About

Matthew S. Macauley is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Matthew S. Macauley has authored 112 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 52 papers in Immunology and 46 papers in Organic Chemistry. Recurrent topics in Matthew S. Macauley's work include Glycosylation and Glycoproteins Research (76 papers), Carbohydrate Chemistry and Synthesis (46 papers) and Galectins and Cancer Biology (22 papers). Matthew S. Macauley is often cited by papers focused on Glycosylation and Glycoproteins Research (76 papers), Carbohydrate Chemistry and Synthesis (46 papers) and Galectins and Cancer Biology (22 papers). Matthew S. Macauley collaborates with scholars based in Canada, United States and United Kingdom. Matthew S. Macauley's co-authors include David J. Vocadlo, James C. Paulson, Paul R. Crocker, Keith A. Stubbs, G.J. Davies, Garrett E. Whitworth, Scott A. Yuzwa, Xiaoyang Shan, Yuan He and Emily Rodrigues and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Matthew S. Macauley

109 papers receiving 6.5k citations

Hit Papers

Siglec-mediated regulation of immune cell function in dis... 2008 2026 2014 2020 2014 2008 2012 250 500 750

Peers

Matthew S. Macauley
Comparison fields: 5 of 121
  • Molecular Biology 5.0k
  • Immunology 2.8k
  • Organic Chemistry 2.6k
  • Physiology 785
  • Radiology, Nuclear Medicine and Imaging 590
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Citations per field, relative to Matthew S. Macauley
Matthew S. Macauley · 1×
Citations per year, relative to Matthew S. Macauley
Matthew S. Macauley · 1×

Countries citing papers authored by Matthew S. Macauley

Since Specialization
Citations

This map shows the geographic impact of Matthew S. Macauley'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 Matthew S. Macauley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Macauley more than expected).

Fields of papers citing papers by Matthew S. Macauley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Macauley. 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 Matthew S. Macauley. The network helps show where Matthew S. Macauley may publish in the future.

Co-authorship network of co-authors of Matthew S. Macauley

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 2
3 2
4 6
5 11
6 6
7 4
8 14
9 3
10 19
11 46
12 28
13 107
14 119
15
Siglec-mediated regulation of immune cell function in disease breakdown →
806
16 20
17 5
18 38
19 97
20 32

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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