Philippe Monteyne

1.2k citations
32 papers · 761 · h-index 16

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 7
    • Cytomegalovirus and herpesvirus research 4
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4

Philippe Monteyne

32 papers receiving 742 citations

Peers

Philippe Monteyne
Comparison fields: 5 of 71
  • Immunology 224
  • Epidemiology 291
  • Infectious Diseases 137
  • Neurology 107
  • Microbiology 46
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Monteyne

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Monteyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996169
2 199762
3 199153
4 199751
5 199745
6 199841
7 200037
8 199830
9 199730
10 200228
11 199427
12 199720
13 199819
14 199318
15 196118
16 199915
17 200714
18
The anti-Hu syndrome: a clinical and immunological study of 7 cases.
199610
19
Differential regulation by phorbol myristate acetate of IFN-gamma and IL-4 expression in anti-CD3 stimulated mouse spleen cells.
199210
20 19989

About Philippe Monteyne

Philippe Monteyne is a scholar working on Epidemiology, Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine and Neurology, having authored 32 papers that have together received 761 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Viral Infections and Immunology Research (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Multiple Sclerosis Research Studies (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Immunology (224 citations), Epidemiology (291 citations), Infectious Diseases (137 citations), Neurology (107 citations) and Microbiology (46 citations). Philippe Monteyne has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Christian Sindic, G.M. Cleator, Paola Cinque, Michel Brahic, Jean‐François Bureau, Thomas Weber, Anton M. van Loon, Christian Sindic, Francis André and J P Coutelier. Their work appears in journals such as Journal of NeuroVirology, The Journal of Immunology, Journal of Neuroimmunology, Vaccine and Journal of General Virology.

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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