Rutger J. Wierda

432 total citations
9 papers, 328 citations indexed

About

Rutger J. Wierda is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Rutger J. Wierda has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 1 paper in Infectious Diseases. Recurrent topics in Rutger J. Wierda's work include Epigenetics and DNA Methylation (6 papers), Immunotherapy and Immune Responses (4 papers) and Histone Deacetylase Inhibitors Research (2 papers). Rutger J. Wierda is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Immunotherapy and Immune Responses (4 papers) and Histone Deacetylase Inhibitors Research (2 papers). Rutger J. Wierda collaborates with scholars based in Netherlands, United States and Spain. Rutger J. Wierda's co-authors include Peter J. van den Elsen, Sacha B. Geutskens, J. Wouter Jukema, Paul H.A. Quax, Marja C.J.A. van Eggermond, Albert D. M. E. Osterhaus, Jose ́A. Melero, Ron A. M. Fouchier, Sander Herfst and Vicente Más and has published in prestigious journals such as Journal of Virology, Annals of the New York Academy of Sciences and Biochemical Pharmacology.

In The Last Decade

Rutger J. Wierda

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rutger J. Wierda Netherlands	8	154	99	76	48	38	9	328
Zhigang Chen United States	9	192 1.2×	112 1.1×	84 1.1×	36 0.8×	25 0.7×	14	404
Carla Alliaudi Italy	8	146 0.9×	117 1.2×	32 0.4×	17 0.4×	36 0.9×	20	321
Jiaoxiang Wu China	10	196 1.3×	107 1.1×	70 0.9×	100 2.1×	20 0.5×	20	378
Helia N. Sanchez United States	5	243 1.6×	130 1.3×	40 0.5×	37 0.8×	55 1.4×	11	419
Shrabani Basu United States	10	289 1.9×	52 0.5×	50 0.7×	80 1.7×	14 0.4×	15	407
Sonia Q. Doi United States	11	105 0.7×	101 1.0×	38 0.5×	21 0.4×	25 0.7×	16	426
Yanrui Wu China	14	123 0.8×	25 0.3×	28 0.4×	32 0.7×	38 1.0×	39	439
Lkhagvasuren Munkhtulga Japan	9	197 1.3×	43 0.4×	79 1.0×	19 0.4×	15 0.4×	16	359
Sam J. McCright United States	6	296 1.9×	58 0.6×	83 1.1×	133 2.8×	37 1.0×	8	440
Jhung W. Jhung United States	8	127 0.8×	158 1.6×	40 0.5×	42 0.9×	27 0.7×	10	381

Countries citing papers authored by Rutger J. Wierda

Since Specialization

Citations

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

Fields of papers citing papers by Rutger J. Wierda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rutger J. Wierda. 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 Rutger J. Wierda. The network helps show where Rutger J. Wierda may publish in the future.

Co-authorship network of co-authors of Rutger J. Wierda

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

All Works

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9 of 9 papers shown

Wierda, Rutger J., Marja C.J.A. van Eggermond, Sacha B. Geutskens, et al.. (2015). A role for KMT1c in monocyte to dendritic cell differentiation. Human Immunology. 76(6). 431–437. 12 indexed citations

Wierda, Rutger J., Marja C.J.A. van Eggermond, Jeroen A.M. Beliën, et al.. (2014). Global histone H3 lysine 27 triple methylation levels are reduced in vessels with advanced atherosclerotic plaques. Life Sciences. 129. 3–9. 56 indexed citations

Wierda, Rutger J. & Peter J. van den Elsen. (2012). Genetic and Epigenetic Regulation of CCR5 Transcription. Biology. 1(3). 869–879. 11 indexed citations

Wierda, Rutger J., Hedwich F. Kuipers, Marja C.J.A. van Eggermond, et al.. (2011). Epigenetic control of CCR5 transcript levels in immune cells and modulation by small molecules inhibitors. Journal of Cellular and Molecular Medicine. 16(8). 1866–1877. 22 indexed citations

Elsen, Peter J. van den, Marja C.J.A. van Eggermond, & Rutger J. Wierda. (2011). Epigenetic Control in Immune Function. Advances in experimental medicine and biology. 711. 36–49. 6 indexed citations

Eggermond, Marja C.J.A. van, Petra Klous, Erik van Schooten, et al.. (2011). Epigenetic regulation of CIITA expression in human T-cells. Biochemical Pharmacology. 82(10). 1430–1437. 11 indexed citations

Wierda, Rutger J., Sacha B. Geutskens, J. Wouter Jukema, Paul H.A. Quax, & Peter J. van den Elsen. (2010). Epigenetics in atherosclerosis and inflammation. Journal of Cellular and Molecular Medicine. 14(6a). 1225–1240. 130 indexed citations

Holling, Tjadine M., et al.. (2009). Genetic and Epigenetic Control of the Major Histocompatibility Complex Class Ib Gene HLA‐G in Trophoblast Cell Lines. Annals of the New York Academy of Sciences. 1173(1). 538–544. 20 indexed citations

Herfst, Sander, Vicente Más, Rutger J. Wierda, et al.. (2008). Low-pH-Induced Membrane Fusion Mediated by Human Metapneumovirus F Protein Is a Rare, Strain-Dependent Phenomenon. Journal of Virology. 82(17). 8891–8895. 60 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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