Christopher Agnew

876 citations
14 papers · 549 · h-index 12

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Biochemical and Structural Characterization 3
    • Advanced biosensing and bioanalysis techniques 1
    • HER2/EGFR in Cancer Research 3
    • Peptidase Inhibition and Analysis 2

Christopher Agnew

14 papers receiving 541 citations

Peers

Christopher Agnew
Comparison fields: 5 of 81
  • Immunology and Allergy 61
  • Cell Biology 141
  • Microbiology 31
  • Molecular Biology 318
  • Oncology 118
Replace Teruaki Oku with:
Teruaki Oku Japan
Sharon Celeste Morley United States
Imke Albrecht Switzerland
Ding Ma China
Anna Dart United Kingdom
Lucy East United Kingdom
Peisha Yan United States
Rajesh Vij United States
Martin Fugère Canada
Olivier Krähenbühl Switzerland
Christopher Agnew relative to Teruaki Oku Japan Teruaki Oku's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher Agnew

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Agnew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Agnew. 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 Christopher Agnew. The network helps show where Christopher Agnew may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Agnew, 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 Christopher Agnew Line = papers co-authored together Christopher Agnew links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2006151
2 200872
3 201763
4 200662
5 201934
6 201128
7 201325
8 201325
9 201924
10 202123
11 201616
12 202215
13 20226
14 20115

About Christopher Agnew

Christopher Agnew is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Cell Biology, having authored 14 papers that have together received 549 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Glycosylation and Glycoproteins Research (3 papers), Biochemical and Structural Characterization (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cell Adhesion Molecules Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Immunology and Allergy (61 citations), Cell Biology (141 citations), Microbiology (31 citations), Molecular Biology (318 citations) and Oncology (118 citations). Christopher Agnew has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Silvia Goldoni, Renato V. Iozzo, Natalia Jura, Mathew L. Thakur, C. Cardi, David J. McQuillan, Rick T. Owens, Daniela G. Seidler, R.L. Brady and Bettina van Lengerich. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The EMBO Journal and Journal of the American Chemical Society.

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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