Steve De Vos

675 total citations
11 papers, 354 citations indexed

About

Steve De Vos is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Steve De Vos has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Steve De Vos's work include Immune Response and Inflammation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Steve De Vos is often cited by papers focused on Immune Response and Inflammation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Steve De Vos collaborates with scholars based in Belgium, Germany and Australia. Steve De Vos's co-authors include Philippe Clément-Lacroix, Reginald Brys, N. Vandeghinste, Christel Menet, Thierry Christophe, Jean H.M. Feyen, Katja Conrath, Ellen M. van der Aar, Stephen R. Fletcher and L Nelles and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Steve De Vos

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve De Vos Belgium 7 135 98 88 87 72 11 354
Marianna Greco Italy 13 79 0.6× 125 1.3× 43 0.5× 90 1.0× 59 0.8× 30 420
Š Rùzicková Czechia 11 61 0.5× 168 1.7× 110 1.3× 203 2.3× 38 0.5× 20 463
Takamitsu Komiyama Japan 9 111 0.8× 319 3.3× 142 1.6× 88 1.0× 20 0.3× 9 500
M Siena Italy 9 101 0.7× 162 1.7× 29 0.3× 142 1.6× 35 0.5× 11 400
Jacky Arkell Australia 8 99 0.7× 114 1.2× 46 0.5× 51 0.6× 32 0.4× 8 416
Takuma Ishizaki Japan 11 61 0.5× 193 2.0× 29 0.3× 88 1.0× 54 0.8× 45 414
Maki Fujishiro Japan 13 112 0.8× 205 2.1× 148 1.7× 114 1.3× 22 0.3× 30 453
Kimberly F. Kerstann United States 5 137 1.0× 174 1.8× 33 0.4× 41 0.5× 69 1.0× 9 400
Peiqiang Li China 10 43 0.3× 121 1.2× 59 0.7× 69 0.8× 34 0.5× 21 300
S. J. Gadd Austria 9 80 0.6× 162 1.7× 32 0.4× 164 1.9× 23 0.3× 13 478

Countries citing papers authored by Steve De Vos

Since Specialization
Citations

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

Fields of papers citing papers by Steve De Vos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve De Vos. 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 Steve De Vos. The network helps show where Steve De Vos may publish in the future.

Co-authorship network of co-authors of Steve De Vos

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

All Works

11 of 11 papers shown
1.
Blanqué, Roland, Kenji F. Shoji, Monica Borgonovi, et al.. (2024). Discovery of GLPG3667, a Selective ATP Competitive Tyrosine Kinase 2 Inhibitor for the Treatment of Autoimmune Diseases. Journal of Medicinal Chemistry. 67(11). 8545–8568. 5 indexed citations
2.
Jargosch, Manja, Sonia Dupont, Christel Menet, et al.. (2023). IRAK4 inhibition dampens pathogenic processes driving inflammatory skin diseases. Science Translational Medicine. 15(683). eabj3289–eabj3289. 22 indexed citations
4.
Riet, Sander van, Annemarie van Schadewijk, Steve De Vos, et al.. (2020). Modulation of Airway Epithelial Innate Immunity and Wound Repair by M(GM-CSF) and M(M-CSF) Macrophages. Journal of Innate Immunity. 12(5). 410–421. 16 indexed citations
5.
Puengel, Tobias, Steve De Vos, Jana Hundertmark, et al.. (2020). The Medium-Chain Fatty Acid Receptor GPR84 Mediates Myeloid Cell Infiltration Promoting Steatohepatitis and Fibrosis. Journal of Clinical Medicine. 9(4). 1140–1140. 53 indexed citations
7.
Mahmud, Zobaer Al, Laura Jenkins, Trond Ulven, et al.. (2017). Three classes of ligands each bind to distinct sites on the orphan G protein-coupled receptor GPR84. Scientific Reports. 7(1). 17953–17953. 37 indexed citations
8.
Rompaey, Luc Van, René Galien, Ellen M. van der Aar, et al.. (2013). Preclinical Characterization of GLPG0634, a Selective Inhibitor of JAK1, for the Treatment of Inflammatory Diseases. The Journal of Immunology. 191(7). 3568–3577. 181 indexed citations
9.
Vayssière, Béatrice, Steve De Vos, Marielle Auberval, et al.. (2013). THU0116 Biological Effects of the JAK1 Selective Inhibitor GLPG0634 on Inflammation Markers in Arthritic Mice. Annals of the Rheumatic Diseases. 72. A201–A202.
10.
Gruss, H J, et al.. (1992). Effect of antiinflammatory agents on synthesis of MCP-1/JE transcripts by human blood monocytes.. Molecular Pharmacology. 42(1). 63–68. 28 indexed citations
11.
Vos, Steve De. (1975). A. ROGERS, Statistical Analysis of Spatial Dispersion. Tijdschrift voor Economische en Sociale Geografie. 66(6). 374–375. 1 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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