A. Wuyts

847 total citations
12 papers, 741 citations indexed

About

A. Wuyts is a scholar working on Oncology, Immunology and Immunology and Allergy. According to data from OpenAlex, A. Wuyts has authored 12 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Immunology and 3 papers in Immunology and Allergy. Recurrent topics in A. Wuyts's work include Chemokine receptors and signaling (10 papers), Cell Adhesion Molecules Research (3 papers) and Immune Cell Function and Interaction (3 papers). A. Wuyts is often cited by papers focused on Chemokine receptors and signaling (10 papers), Cell Adhesion Molecules Research (3 papers) and Immune Cell Function and Interaction (3 papers). A. Wuyts collaborates with scholars based in Belgium, Italy and Netherlands. A. Wuyts's co-authors include Jo Van Damme, Paul Proost, Patricia Menten, Ghislain Opdenakker, Sofie Struyf, Jo Van Damme, Annemie Haelens, Dominique Schols, Silvano Sozzani and Jean‐Pierre Lenaerts and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Immunological Methods.

In The Last Decade

A. Wuyts

12 papers receiving 722 citations

Peers

A. Wuyts

IMMUN

ONCOL

MB

IA

EPIDE

Jennifer McNinch United States

Elisabetta Agea Italy

Félix A. Montero‐Julian France

J Seifert Austria

J A Carlino United States

Pierre Guillot Germany

Byung‐S. Youn United States

Jessica A. Allen United States

Giampiero Girolomoni Italy

Kirti V. Sawant United States

Jennifer McNinch United States

A. Wuyts

405 ×1.0

IMMUN

332 ×1.0

ONCOL

187 ×1.5

MB

64 ×0.6

IA

43 ×0.7

EPIDE

Citations per year, relative to A. Wuyts A. Wuyts (= 1×) peers Jennifer McNinch

Countries citing papers authored by A. Wuyts

Since Specialization

Citations

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

Fields of papers citing papers by A. Wuyts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Wuyts

This figure shows the co-authorship network connecting the top 25 collaborators of A. Wuyts. A scholar is included among the top collaborators of A. Wuyts 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 A. Wuyts. A. Wuyts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Starckx, Sofie, Philippe E. Van den Steen, A. Wuyts, Jo Van Damme, & Ghislain Opdenakker. (2002). Neutrophil Gelatinase B and Chemokines in Leukocytosis and Stem Cell Mobilization. Leukemia & lymphoma. 43(2). 233–241. 43 indexed citations

2.

Menten, Patricia, A. Wuyts, & Jo Van Damme. (2002). Monocyte chemotactic protein-3.. PubMed. 12(4). 554–60. 84 indexed citations

3.

Damme, Jo Van, Sofie Struyf, A. Wuyts, et al.. (1999). The Role of CD26/DPP IV in Chemokine Processing. PubMed. 72. 42–56. 75 indexed citations

4.

Wuyts, A., Paul Proost, & Jo Van Damme. (1998). Interleukin-8 and other CXC chemokines. 65 indexed citations

5.

Struyf, Sofie, Paul Proost, Silvano Sozzani, et al.. (1998). Enhanced anti-HIV-1 activity and altered chemotactic potency of NH2-terminally processed macrophage-derived chemokine (MDC) imply an additional MDC receptor.. PubMed. 161(6). 2672–5. 83 indexed citations

6.

Proost, Paul, Sofie Struyf, A. Wuyts, et al.. (1998). Isolation and identification of naturally modified C-C chemokines MCP-1, MCP-2 and RANTES: effects of posttranslational modifications on receptor usage, chemotactic and anti-HIV-1 activity.. PubMed. 9(3 Suppl). 73–5. 12 indexed citations

7.

Goselink, Henriëtte M., Jo Van Damme, Pieter S. Hiemstra, et al.. (1996). Colony growth of human hematopoietic progenitor cells in the absence of serum is supported by a proteinase inhibitor identified as antileukoproteinase.. The Journal of Experimental Medicine. 184(4). 1305–1312. 15 indexed citations

8.

Proost, Paul, A. Wuyts, & Jo Van Damme. (1996). The role of chemokines in inflammation. International Journal of Clinical & Laboratory Research. 26(4). 211–223. 159 indexed citations

9.

Haelens, Annemie, A. Wuyts, Paul Proost, et al.. (1996). Leukocyte Migration and Activation by Murine Chemokines. Immunobiology. 195(4-5). 499–521. 66 indexed citations

10.

Wuyts, A., et al.. (1996). Isolation of a lymphocyte chemotactic factor produced by the murine thymic epithelial cell line MTEC1: identification as a 30 kDa glycosylated form of MCP-1.. PubMed. 7(3). 381–8. 18 indexed citations

11.

Wuyts, A., Annemie Haelens, Paul Proost, et al.. (1996). Identification of mouse granulocyte chemotactic protein-2 from fibroblasts and epithelial cells. Functional comparison with natural KC and macrophage inflammatory protein-2. The Journal of Immunology. 157(4). 1736–1743. 98 indexed citations

12.

Wuyts, A., et al.. (1994). Leukocyte recruitment by monocyte chemotactic proteins (MCPs) secreted by human phagocytes. Journal of Immunological Methods. 174(1-2). 237–247. 23 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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