Ciara A. McManus

626 citations
19 papers · 447 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Advanced Proteomics Techniques and Applications 6
    • Mass Spectrometry Techniques and Applications 4

Ciara A. McManus

17 papers receiving 443 citations

Peers

Ciara A. McManus
Comparison fields: 5 of 70
  • Molecular Biology 354
  • Immunology 89
  • Radiology, Nuclear Medicine and Imaging 89
  • Spectroscopy 64
  • Organic Chemistry 87
Replace Thomas D. Madsen with:
Thomas D. Madsen Denmark
Shola S. Sulaimon United States
Jiechen Shen China
Bojing Zhu China
Toma Keser Croatia
Victor T. Ling United States
Zilu Ye Denmark
Connor A. West United States
Rongxia Lan China
Eric Sousa United States
Ciara A. McManus relative to Thomas D. Madsen Denmark Thomas D. Madsen's profile →
Citations per field
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Thomas D. Madsen · 1×
Citations per year

Countries citing papers authored by Ciara A. McManus

Since Specialization
Citations

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

Fields of papers citing papers by Ciara A. McManus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ciara A. McManus. 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 Ciara A. McManus. The network helps show where Ciara A. McManus may publish in the future.

Co-authors

The 25 scholars most cited alongside Ciara A. McManus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ciara A. McManus Line = papers co-authored together Ciara A. McManus links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010109
2 201867
3 201639
4 201735
5 199933
6 200927
7 201226
8 201726
9 201221
10 200616
11 201113
12
Plasma N-glycans in colorectal cancer risk
20188
13 20148
14 20068
15 20104
16 20094
17 20153
18 20260
19 20230

About Ciara A. McManus

Ciara A. McManus is a scholar working on Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Immunology, having authored 19 papers that have together received 447 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Galectins and Cancer Biology (3 papers), Enzyme Structure and Function (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Molecular Biology (354 citations), Immunology (89 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Spectroscopy (64 citations) and Organic Chemistry (87 citations). Ciara A. McManus has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Pauline M. Rudd, Michael J. Dünn, Niaobh O’Donoghue, Jonathan Bones, Caitríona Scaife, Anca Năstase, Jennifer C. Byrne, Henning Stöckmann, Margaret Doherty and Marlene L. Rose. Their work appears in journals such as PROTEOMICS, Journal of Proteome Research, Journal of NeuroInterventional Surgery, Thrombosis and Haemostasis and The Journal of Physiology.

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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