Wouter Eijgelaar

566 total citations
8 papers, 401 citations indexed

About

Wouter Eijgelaar is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Wouter Eijgelaar has authored 8 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Wouter Eijgelaar's work include Atherosclerosis and Cardiovascular Diseases (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Wouter Eijgelaar is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Wouter Eijgelaar collaborates with scholars based in Netherlands, United Kingdom and Germany. Wouter Eijgelaar's co-authors include Mat J.A.P. Daemen, Esther Lutgens, Erik A.L. Biessen, Dirk Lievens, Pieter Goossens, Marion J. Gijbels, Andrew C. Newby, Anita C. Thomas, Menno P.J. de Winther and Joris Vanderlocht and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cell Metabolism.

In The Last Decade

Wouter Eijgelaar

8 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wouter Eijgelaar Netherlands	7	270	119	60	52	49	8	401
Taishi Sasaoka Japan	11	149 0.6×	177 1.5×	59 1.0×	20 0.4×	79 1.6×	17	471
Anna Missiou Germany	9	322 1.2×	110 0.9×	108 1.8×	12 0.2×	72 1.5×	12	468
K Norioka Japan	15	200 0.7×	121 1.0×	49 0.8×	108 2.1×	48 1.0×	28	461
Jison Hong United States	7	127 0.5×	83 0.7×	33 0.6×	75 1.4×	45 0.9×	10	325
Sander M. van de Weg Netherlands	9	147 0.5×	115 1.0×	46 0.8×	23 0.4×	26 0.5×	11	318
Marianna Papaspyridonos United Kingdom	5	246 0.9×	177 1.5×	30 0.5×	20 0.4×	22 0.4×	6	381
Shunhua Guo United States	12	179 0.7×	68 0.6×	32 0.5×	138 2.7×	19 0.4×	22	371
Anja Baier Germany	5	101 0.4×	232 1.9×	41 0.7×	138 2.7×	25 0.5×	7	446
Olga Pryshchep United States	6	307 1.1×	96 0.8×	43 0.7×	122 2.3×	85 1.7×	7	479
Hanshi Xu China	12	88 0.3×	156 1.3×	37 0.6×	41 0.8×	19 0.4×	23	343

Countries citing papers authored by Wouter Eijgelaar

Since Specialization

Citations

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

Fields of papers citing papers by Wouter Eijgelaar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wouter Eijgelaar

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

All Works

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8 of 8 papers shown

Jin, Han, Pieter Goossens, Péter Juhász, et al.. (2021). Integrative multiomics analysis of human atherosclerosis reveals a serum response factor‐driven network associated with intraplaque hemorrhage. SHILAP Revista de lepidopterología. 11(6). e458–e458. 53 indexed citations

Thomas, Anita C., Wouter Eijgelaar, Mat J.A.P. Daemen, & Andrew C. Newby. (2015). Foam Cell Formation In Vivo Converts Macrophages to a Pro-Fibrotic Phenotype. PLoS ONE. 10(7). e0128163–e0128163. 44 indexed citations

Thomas, Anita C., Wouter Eijgelaar, Mat J.A.P. Daemen, & Andrew C. Newby. (2015). The pro-fibrotic and anti-inflammatory foam cell macrophage paradox. Genomics Data. 6. 136–138. 10 indexed citations

Goossens, Pieter, Marion J. Gijbels, Alma Zernecke, et al.. (2010). Myeloid Type I Interferon Signaling Promotes Atherosclerosis by Stimulating Macrophage Recruitment to Lesions. Cell Metabolism. 12(2). 142–153. 168 indexed citations

Eijgelaar, Wouter, Anton J.G. Horrevoets, Ann-Pascale J. Bijnens, Mat J.A.P. Daemen, & Wim Verhaegh. (2010). Equivalence testing in microarray analysis: similarities in the transcriptome of human atherosclerotic and nonatherosclerotic macrophages. Physiological Genomics. 41(3). 212–223. 15 indexed citations

Lievens, Dirk, Wouter Eijgelaar, Erik A.L. Biessen, Mat J.A.P. Daemen, & Esther Lutgens. (2009). The multi-functionality of CD40L and its receptor CD40 in atherosclerosis. Thrombosis and Haemostasis. 102(8). 206–214. 99 indexed citations

Heeneman, Sylvia, Mat J.A.P. Daemen, & Wouter Eijgelaar. (2009). The vulnerable patient: Refocusing on the plaque?. Thrombosis and Haemostasis. 102(8). 231–239. 5 indexed citations

Beijnum, Judy R. van, Wouter Eijgelaar, & Arjan W. Griffioen. (2005). Towards high-throughput functional target discovery in angiogenesis research. Trends in Molecular Medicine. 12(1). 44–52. 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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