G. Vierwinden

492 total citations
14 papers, 390 citations indexed

About

G. Vierwinden is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, G. Vierwinden has authored 14 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Rheumatology and 4 papers in Immunology. Recurrent topics in G. Vierwinden's work include Systemic Lupus Erythematosus Research (4 papers), Cancer therapeutics and mechanisms (3 papers) and Cell death mechanisms and regulation (3 papers). G. Vierwinden is often cited by papers focused on Systemic Lupus Erythematosus Research (4 papers), Cancer therapeutics and mechanisms (3 papers) and Cell death mechanisms and regulation (3 papers). G. Vierwinden collaborates with scholars based in Netherlands and United States. G. Vierwinden's co-authors include L. B. A. van de Putte, J.B.M. Boezeman, R A Koene, P J Capel, P. Faaber, T. de Witte, A. Pennings, Lambert F. R. Span, A M Boerbooms and P. Linssen and has published in prestigious journals such as Neurology, European Journal of Immunology and Leukemia.

In The Last Decade

G. Vierwinden

14 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Vierwinden Netherlands 11 126 117 115 100 60 14 390
Kumiko Yanase United States 6 91 0.7× 115 1.0× 165 1.4× 105 1.1× 31 0.5× 7 380
L. Matarán Spain 13 252 2.0× 142 1.2× 272 2.4× 120 1.2× 69 1.1× 17 551
Gábor Hutás United States 9 74 0.6× 66 0.6× 164 1.4× 63 0.6× 23 0.4× 9 349
L. A. M. Van Den Bersselaar Netherlands 7 230 1.8× 167 1.4× 224 1.9× 60 0.6× 88 1.5× 9 478
Cristina Iobagiu France 8 177 1.4× 87 0.7× 131 1.1× 141 1.4× 23 0.4× 10 375
MP Bodger New Zealand 11 31 0.2× 155 1.3× 279 2.4× 105 1.1× 143 2.4× 19 552
J A Brieva Spain 15 40 0.3× 136 1.2× 404 3.5× 90 0.9× 104 1.7× 19 653
Anette Peddinghaus Germany 5 167 1.3× 89 0.8× 443 3.9× 100 1.0× 62 1.0× 8 611
Guozhang Feng China 4 205 1.6× 138 1.2× 197 1.7× 38 0.4× 23 0.4× 5 477
Debbie Roeleveld Netherlands 9 115 0.9× 183 1.6× 146 1.3× 28 0.3× 44 0.7× 15 422

Countries citing papers authored by G. Vierwinden

Since Specialization
Citations

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

Fields of papers citing papers by G. Vierwinden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Vierwinden

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

All Works

14 of 14 papers shown
1.
Span, Lambert F. R., et al.. (2005). Programmed cell death is an intrinsic feature of MDS progenitors, predominantly found in the cluster-forming cells. Experimental Hematology. 33(4). 435–442. 13 indexed citations
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Vierwinden, G., et al.. (1999). Idarubicin DNA intercalation is reduced by MRP1 and not Pgp. Leukemia. 13(9). 1390–1398. 14 indexed citations
6.
Boezeman, J.B.M., Reinier Raymakers, G. Vierwinden, & P. Linssen. (1997). Automatic analysis of growth onset, growth rate and colony size of individual bone marrow progenitors. Cytometry. 28(4). 305–310. 16 indexed citations
7.
Westphal, J R, et al.. (1994). Anti-endothelial cell antibodies in sera of patients with autoimmune diseases: comparison between ELISA and FACS analysis. Clinical & Experimental Immunology. 96(3). 444–449. 42 indexed citations
8.
Jongen, Peter Joseph, et al.. (1990). Diffuse CNS involvement in systemic lupus erythematosus. Neurology. 40(10). 1593–1593. 25 indexed citations
9.
Boerbooms, A M, et al.. (1987). Antiperinuclear factor: indicator of more severe disease in seronegative rheumatoid arthritis.. PubMed. 14(5). 893–7. 28 indexed citations
10.
Faaber, P., et al.. (1984). Cross-reactivity of anti-DNA antibodies with proteoglycans.. PubMed. 55(3). 502–8. 113 indexed citations
11.
Linssen, P., et al.. (1982). Determination of cytosine arabinoside triphosphate in leukemic cells by isocratic high-performance anion-exchange column chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 232(2). 424–429. 10 indexed citations
12.
Salden, Martin, et al.. (1982). Anti‐nuclear matrix antibodies in mixed connective tissue disease. European Journal of Immunology. 12(9). 783–786. 14 indexed citations
13.
Vierwinden, G., et al.. (1977). Cytosine arabinoside binding to human plasma proteins.. PubMed. 229(2). 199–205. 9 indexed citations
14.
Prooijen, H. C. van, G. Vierwinden, J. van Egmond, J.M.C. Wessels, & C. Haanen. (1976). A sensitive bio-assay for pharmacokinetic studies of cytosine arabinoside in man. European Journal of Cancer (1965). 12(11). 899–905. 7 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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