J Van Snick

2.0k citations
33 papers · 1.7k indexed · h-index 23

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways

Papers in

J Van Snick

32 papers receiving 1.7k citations

Peers

J Van Snick
Comparison fields: 5 of 92
  • Immunology 1.1k
  • Immunology and Allergy 134
  • Radiology, Nuclear Medicine and Imaging 306
  • Oncology 359
  • Physiology 252
Replace Catherine Péronne with:
Catherine Péronne France
J T Kurnick United States
R M O'Hara United States
R de Waal Malefijt Netherlands
Nadia Vezzio Canada
L H Glimcher United States
Mary Trounstine United States
Vito L. Burgio Italy
Odile Djossou France
R. B. Nussenblatt United States
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Citations per field
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Catherine Péronne · 1×
Citations per year

Countries citing papers authored by J Van Snick

Since Specialization
Citations

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

Fields of papers citing papers by J Van Snick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Van Snick. 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 J Van Snick. The network helps show where J Van Snick may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20077
2 200632
3 200126
4 199620
5 199549
6
Thymic lymphomas in interleukin 9 transgenic mice.
1994124
7 199342
8 199230
9 199069
10
Mouse IL-6. A hybridoma growth factor with multiple effects on normal B and T cells.
19899
11 198918
12 1988117
13 1988110
14 198847
15 198854
16 198792
17 198797
18 1987124
19 1986125
20 19847

About J Van Snick

J Van Snick is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Hematology and Immunology and Allergy, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Glycosylation and Glycoproteins Research (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Immunotherapy and Immune Responses (4 papers), Chemokine receptors and signaling (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (1.1k citations), Immunology and Allergy (134 citations), Radiology, Nuclear Medicine and Imaging (306 citations), Oncology (359 citations) and Physiology (252 citations). J Van Snick has collaborated with scholars based in Belgium, Australia and United States. Frequent co-authors include Jean‐Christophe Renauld, Frédéric Houssiau, Pierre G. Coulie, Anne Vink, Jo Van Damme, Richard J. Simpson, Mark J. Shlomchik, Martin Weigert, David Nemazee and Marc De Ley. Their work appears in journals such as The Journal of Immunology, European Journal of Biochemistry, The Journal of Experimental Medicine, International Immunology and Clinical & Experimental Allergy.

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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