F Buijs

1.8k citations
11 papers · 1.4k · h-index 9

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 7
    • RNA Interference and Gene Delivery 3
    • RNA and protein synthesis mechanisms 2
    • Advanced biosensing and bioanalysis techniques 1
    • Immunotherapy and Immune Responses 4
    • Galectins and Cancer Biology 3

F Buijs

11 papers receiving 1.3k citations

Peers

F Buijs
Comparison fields: 5 of 78
  • Immunology 530
  • Radiology, Nuclear Medicine and Imaging 545
  • Molecular Biology 1.1k
  • Immunology and Allergy 91
  • Oncology 284
Replace Nigel Peat with:
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F Buijs relative to Nigel Peat United Kingdom Nigel Peat's profile →
Citations per field
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Citations per year

Countries citing papers authored by F Buijs

Since Specialization
Citations

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

Fields of papers citing papers by F Buijs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside F Buijs, 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 F Buijs Line = papers co-authored together F Buijs links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1984404
2
Suppression of cellular aggregation by high levels of episialin.
1992283
3 1992241
4 1993192
5 1988117
6
Complexity of MAM-6, an epithelial sialomucin associated with carcinomas.
198959
7 198335
8 198133
9 197429
10 19776
11 19771

About F Buijs

F Buijs is a scholar working on Molecular Biology, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Animal Science and Zoology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Immunotherapy and Immune Responses (4 papers), Virus-based gene therapy research (4 papers), Galectins and Cancer Biology (3 papers), RNA Interference and Gene Delivery (3 papers), RNA and protein synthesis mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Immunology (530 citations), Radiology, Nuclear Medicine and Imaging (545 citations), Molecular Biology (1.1k citations), Immunology and Allergy (91 citations) and Oncology (284 citations). F Buijs has collaborated with scholars based in Netherlands. Frequent co-authors include John Hilkens, Marjolijn J. L. Ligtenberg, Hans L. Vos, Jero Calafat, J. Hilgers, Ph. Hageman, Arnoud Sonnenberg, S. V. Litvinov, M J Ligtenberg and Annemiek J. de Boer. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, JNCI Journal of the National Cancer Institute, Biochimica et Biophysica Acta (BBA) - General Subjects and International Journal of Cancer.

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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