Willy Put

1.9k citations
25 papers · 1.6k · h-index 23

Impact in

  • Immunology top 5%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Cell Adhesion Molecules Research

Papers in

    • Chemokine receptors and signaling 17
    • Cytokine Signaling Pathways and Interactions 3
    • Immune Response and Inflammation 11
    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 5

Willy Put

25 papers receiving 1.6k citations

Peers

Willy Put
Comparison fields: 5 of 82
  • Immunology 788
  • Immunology and Allergy 196
  • Oncology 672
  • Rheumatology 120
  • Neurology 65
Replace D D Taub with:
D D Taub United States
Evemie Schutyser Belgium
Edgar Dippel Germany
Patricia Menten Belgium
E.‐B. Bröcker Germany
Mercy Prabhu Das United States
Morio Nagira Japan
Lesley Rhee United States
Alexandre Garin United States
M F Luciani France
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Citations per field
00.5×1.5×2.1×
D D Taub · 1×
Citations per year

Countries citing papers authored by Willy Put

Since Specialization
Citations

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

Fields of papers citing papers by Willy Put

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990133
2 2007113
3 2008112
4 2006101
5 200399
6 198792
7 199290
8 199787
9 200382
10 200182
11 200479
12 199873
13 199972
14 200072
15 199958
16 200153
17 200742
18 199336
19 199630
20 200927

About Willy Put

Willy Put is a scholar working on Oncology, Immunology, Immunology and Allergy, Molecular Biology and Genetics, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (17 papers), Immune Response and Inflammation (11 papers), Immunotherapy and Immune Responses (9 papers), Cell Adhesion Molecules Research (7 papers), T-cell and B-cell Immunology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology (788 citations), Immunology and Allergy (196 citations), Oncology (672 citations), Rheumatology (120 citations) and Neurology (65 citations). Willy Put has collaborated with scholars based in Belgium, Italy and Australia. Frequent co-authors include Jo Van Damme, Paul Proost, Sofie Struyf, Jean‐Pierre Lenaerts, Ghislain Opdenakker, Alfons Billiau, René Conings, Evemie Schutyser, Anja Wuyts and Mieke Gouwy. Their work appears in journals such as European Journal of Immunology, Journal of Leukocyte Biology, European Journal of Biochemistry, Laboratory Investigation and Blood.

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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