Jean P. Van Wauwe

1.0k total citations
24 papers, 884 citations indexed

About

Jean P. Van Wauwe is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Jean P. Van Wauwe has authored 24 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Organic Chemistry. Recurrent topics in Jean P. Van Wauwe's work include Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Jean P. Van Wauwe is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Jean P. Van Wauwe collaborates with scholars based in Belgium, United States and United Kingdom. Jean P. Van Wauwe's co-authors include J. Goossens, C.K. De Bruyne, Frank G. Loontiens, Jan Ceuppens, M C Coene, W Cools, Paul A. J. Janssen, Johan Monbaliu, Peter C. L. Beverley and W. Lauwers and has published in prestigious journals such as The Journal of Immunology, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Jean P. Van Wauwe

24 papers receiving 827 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean P. Van Wauwe Belgium 16 467 351 178 157 119 24 884
Jen Wei Chiao United States 20 760 1.6× 317 0.9× 116 0.7× 80 0.5× 130 1.1× 70 1.3k
Tomoyuki Tanaka Japan 18 584 1.3× 300 0.9× 50 0.3× 93 0.6× 125 1.1× 46 1.3k
Angela Lewis United States 12 909 1.9× 331 0.9× 410 2.3× 214 1.4× 80 0.7× 17 1.5k
Tomoki Yamadori Japan 13 424 0.9× 542 1.5× 56 0.3× 111 0.7× 43 0.4× 16 1.2k
Alexandre E. Nowill Brazil 19 584 1.3× 341 1.0× 95 0.5× 66 0.4× 56 0.5× 45 1.3k
D. Grünberger United States 12 491 1.1× 372 1.1× 74 0.4× 66 0.4× 106 0.9× 30 1.0k
Chhabinath Mandal India 21 705 1.5× 308 0.9× 94 0.5× 37 0.2× 137 1.2× 56 1.1k
Pauline Low Australia 13 497 1.1× 303 0.9× 57 0.3× 35 0.2× 103 0.9× 16 979
Osamu Takeda Japan 20 571 1.2× 130 0.4× 51 0.3× 206 1.3× 41 0.3× 46 1.3k
S. Basu India 18 651 1.4× 359 1.0× 57 0.3× 83 0.5× 30 0.3× 35 1.4k

Countries citing papers authored by Jean P. Van Wauwe

Since Specialization
Citations

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

Fields of papers citing papers by Jean P. Van Wauwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean P. Van Wauwe. 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 Jean P. Van Wauwe. The network helps show where Jean P. Van Wauwe may publish in the future.

Co-authorship network of co-authors of Jean P. Van Wauwe

This figure shows the co-authorship network connecting the top 25 collaborators of Jean P. Van Wauwe. A scholar is included among the top collaborators of Jean P. Van Wauwe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean P. Van Wauwe. Jean P. Van Wauwe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wauwe, Jean P. Van, et al.. (2016). Pillars Article: OKT3: A Monoclonal Anti-Human T Lymphocyte Antibody with Potent Mitogenic Properties. J. Immunol. 1980. 124: 2708-2713.. PubMed. 197(9). 3431–3436. 5 indexed citations
2.
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Doyon, Julien, Mieke Buntinx, Bart Hermans, et al.. (2008). Discovery of Potent, Orally Bioavailable Small‐Molecule Inhibitors of the Human CCR2 Receptor. ChemMedChem. 3(4). 660–669. 13 indexed citations
4.
Freyne, Eddy, Frederik Deroose, Marc Willems, et al.. (2004). Synthesis and Biological Evaluation of 1,2,4-Triazinylphenylalkylthiazolecarboxylic Acid Esters as Cytokine-Inhibiting Antedrugs with Strong Bronchodilating Effects in an Animal Model of Asthma. Journal of Medicinal Chemistry. 48(6). 2167–2175. 9 indexed citations
5.
Wauwe, Jean P. Van, M C Coene, J. Goossens, W Cools, & Johan Monbaliu. (1990). Effects of cytochrome P-450 inhibitors on the in vivo metabolism of all-trans-retinoic acid in rats.. Journal of Pharmacology and Experimental Therapeutics. 252(1). 365–369. 124 indexed citations
6.
Janssen, Paul A. J., et al.. (1989). The Role of Cytochrome P‐450 in Dermatology. International Journal of Dermatology. 28(8). 493–496. 10 indexed citations
7.
8.
Wauwe, Jean P. Van & Paul A. J. Janssen. (1989). Is there a case for P-450 inhibitors in cancer treatment?. Journal of Medicinal Chemistry. 32(10). 2231–2239. 69 indexed citations
9.
Wauwe, Jean P. Van, et al.. (1988). Ketoconazole inhibits the in vitro and in vivo metabolism of all-trans-retinoic acid.. Journal of Pharmacology and Experimental Therapeutics. 245(2). 718–722. 78 indexed citations
10.
Goossens, J., et al.. (1987). Cytoprotective effects of disodium cromoglycate on rat stomach mucosa. British Journal of Pharmacology. 91(1). 165–169. 10 indexed citations
11.
Ceuppens, Jan, et al.. (1986). CD3 modulation inhibits pokeweed mitogen-induced T-cell help for immunoglobulin production. Cellular Immunology. 102(1). 144–151. 1 indexed citations
12.
Wauwe, Jean P. Van, et al.. (1986). Dextran‐induced edema formation in mouse ear: A pharmacological evaluation. Drug Development Research. 8(1-4). 213–218. 2 indexed citations
13.
Ceuppens, Jan, et al.. (1986). Effect of T3 modulation on pokeweed mitogen-induced T cell activation: evidence for an alternative pathway of T cell activation.. The Journal of Immunology. 136(9). 3346–3350. 19 indexed citations
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15.
Ceuppens, Jan, et al.. (1985). Failure of OKT3 monoclonal antibody to induce lymphocyte mitogenesis: a familial defect in monocyte helper function.. The Journal of Immunology. 134(3). 1498–1502. 30 indexed citations
16.
Wauwe, Jean P. Van, et al.. (1984). Inhibition of lymphocyte proliferation by monoclonal antibody directed against the T3 antigen on human T cells. Cellular Immunology. 86(2). 525–534. 32 indexed citations
17.
Loontiens, Frank G., Jean P. Van Wauwe, & C.K. De Bruyne. (1975). Concanavalin A: Relation between hapten inhibition indexes and association constants for different glycosides. Carbohydrate Research. 44(1). 150–153. 26 indexed citations
18.
Wauwe, Jean P. Van, Frank G. Loontiens, & C.K. De Bruyne. (1975). Carbohydrate binding specificity of the lectin from the PEA (Pisum sativum). Biochimica et Biophysica Acta (BBA) - Protein Structure. 379(2). 456–461. 47 indexed citations
19.
Wauwe, Jean P. Van, Frank G. Loontiens, Hubert Carchon, & C.K. De Bruyne. (1973). Binding of p-substituted-phenyl glycosides to the lectins from the pea and the lentil. Carbohydrate Research. 30(2). 249–256. 10 indexed citations
20.
Wauwe, Jean P. Van, Frank G. Loontiens, & C.K. De Bruyne. (1973). The interaction of Ricinus communis hemagglutinin with polysaccharides and low molecular weight carbohydrates. Biochimica et Biophysica Acta (BBA) - General Subjects. 313(1). 99–105. 64 indexed citations

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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