Erikjan Rijkers

1.2k total citations
17 papers, 894 citations indexed

About

Erikjan Rijkers is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Erikjan Rijkers has authored 17 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Physiology. Recurrent topics in Erikjan Rijkers's work include Genomics and Chromatin Dynamics (4 papers), Advanced biosensing and bioanalysis techniques (2 papers) and RNA modifications and cancer (2 papers). Erikjan Rijkers is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Advanced biosensing and bioanalysis techniques (2 papers) and RNA modifications and cancer (2 papers). Erikjan Rijkers collaborates with scholars based in Netherlands, United States and Norway. Erikjan Rijkers's co-authors include Wilfred F. J. van IJcken, Frank Grosveld, Jeroen Demmers, Christel Kockx, Boris Lenhard, Jan Christian Bryne, Jun Hou, Dick H. W. Dekkers, Supat Thongjuea and Sjaak Philipsen and has published in prestigious journals such as Nature Genetics, Genes & Development and Blood.

In The Last Decade

Erikjan Rijkers

17 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erikjan Rijkers Netherlands	13	674	126	101	93	77	17	894
Miguel Foronda Spain	15	804 1.2×	140 1.1×	104 1.0×	155 1.7×	77 1.0×	20	1.3k
Oliver M. Dovey United Kingdom	12	962 1.4×	118 0.9×	93 0.9×	88 0.9×	41 0.5×	17	1.1k
Jason Lowry United States	12	615 0.9×	136 1.1×	47 0.5×	68 0.7×	140 1.8×	17	842
Anita M. Quintana United States	12	384 0.6×	212 1.7×	71 0.7×	50 0.5×	45 0.6×	24	665
Nina S. Heiss Germany	17	1.1k 1.7×	245 1.9×	110 1.1×	97 1.0×	38 0.5×	21	1.5k
F. Apiou France	15	517 0.8×	245 1.9×	76 0.8×	158 1.7×	58 0.8×	31	835
Sunnie Wong United States	9	831 1.2×	360 2.9×	59 0.6×	55 0.6×	63 0.8×	14	1.1k
A.F. Markham United Kingdom	16	566 0.8×	147 1.2×	49 0.5×	80 0.9×	100 1.3×	35	1.0k
Duncan B. Johnstone United States	13	450 0.7×	155 1.2×	64 0.6×	69 0.7×	51 0.7×	16	844
Xavier Le Guezennec Singapore	13	959 1.4×	119 0.9×	30 0.3×	104 1.1×	45 0.6×	21	1.2k

Countries citing papers authored by Erikjan Rijkers

Since Specialization

Citations

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

Fields of papers citing papers by Erikjan Rijkers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erikjan Rijkers

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

All Works

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17 of 17 papers shown

Rijkers, Erikjan, Jeroen Demmers, Arnold G. Vulto, et al.. (2023). Lentiviral gene therapy with IGF2-tagged GAA normalizes the skeletal muscle proteome in murine Pompe disease. Journal of Proteomics. 291. 105037–105037. 5 indexed citations

Shi, Ligen, Jeroen Demmers, Karel Bezstarosti, et al.. (2022). Distinct proteomic profiles in prefrontal subareas of elderly major depressive disorder and bipolar disorder patients. Translational Psychiatry. 12(1). 275–275. 10 indexed citations

Scheenstra, Maaike R., Andrea Acebes‐Huerta, Rutger W. W. Brouwer, et al.. (2020). Comparison of the PU.1 transcriptional regulome and interactome in human and mouse inflammatory dendritic cells. Journal of Leukocyte Biology. 110(4). 735–751. 4 indexed citations

Mandemaker, Imke K., Marit E. Geijer, Karel Bezstarosti, et al.. (2018). DNA damage‐induced replication stress results in PA 200‐proteasome‐mediated degradation of acetylated histones. EMBO Reports. 19(10). 40 indexed citations

Bezstarosti, Karel, Dick H. W. Dekkers, Erikjan Rijkers, et al.. (2017). Improvement of ubiquitylation site detection by Orbitrap mass spectrometry. Journal of Proteomics. 172. 49–56. 30 indexed citations

Haisma, Elisabeth M., Joost Willemse, Roman I. Koning, et al.. (2016). Detection of Alpha-Toxin and Other Virulence Factors in Biofilms of Staphylococcus aureus on Polystyrene and a Human Epidermal Model. PLoS ONE. 11(1). e0145722–e0145722. 52 indexed citations

Meinders, Marjolein, Harmen J.G. van de Werken, Mark Hoogenboezem, et al.. (2014). Sp1/Sp3 transcription factors regulate hallmarks of megakaryocyte maturation and platelet formation and function. Blood. 125(12). 1957–1967. 46 indexed citations

Bezstarosti, Karel, Dick H. W. Dekkers, Mirjam C. G. N. van den Hout, et al.. (2014). Global quantitative proteomics reveals novel factors in the ecdysone signaling pathway in Drosophila melanogaster. PROTEOMICS. 15(4). 725–738. 8 indexed citations

Killestein, Joep, Veronica Popescu, Erikjan Rijkers, et al.. (2013). Oxysterols and cholesterol precursors correlate to magnetic resonance imaging measures of neurodegeneration in multiple sclerosis. Multiple Sclerosis Journal. 20(4). 412–417. 74 indexed citations

10.

Carvalho, Rejane Hughes, Vanja Haberle, Jun Hou, et al.. (2012). Genome-wide DNA methylation profiling of non-small cell lung carcinomas. Epigenetics & Chromatin. 5(1). 9–9. 51 indexed citations

11.

Engelen, Erik, Umut Akinci, Jan Christian Bryne, et al.. (2011). Sox2 cooperates with Chd7 to regulate genes that are mutated in human syndromes. Nature Genetics. 43(6). 607–611. 191 indexed citations

12.

Soler, Éric, Charlotte Andrieu‐Soler, Elke de Boer, et al.. (2010). The genome-wide dynamics of the binding of Ldb1 complexes during erythroid differentiation (Genes & Development (2010) 24, (277-289)). Genes & Development. 24. 623. 25 indexed citations

13.

Martianov, Igor, Mohamed-Amin Choukrallah, Arnaud Krebs, et al.. (2010). Cell-specific occupancy of an extended repertoire of CREM and CREB binding loci in male germ cells. BMC Genomics. 11(1). 530–530. 51 indexed citations

14.

Soler, Éric, Charlotte Andrieu‐Soler, Ernie de Boer, et al.. (2010). A systems approach to analyze transcription factors in mammalian cells. Methods. 53(2). 151–162. 20 indexed citations

15.

Soler, Éric, Charlotte Andrieu‐Soler, Ernie de Boer, et al.. (2010). The genome-wide dynamics of the binding of Ldb1 complexes during erythroid differentiation. Genes & Development. 24(3). 277–289. 200 indexed citations

16.

Simonis, Marieke, Petra Klous, Irene Homminga, et al.. (2009). High-resolution identification of balanced and complex chromosomal rearrangements by 4C technology. Nature Methods. 6(11). 837–842. 66 indexed citations

17.

Dekkers, Dick H. W., Karel Bezstarosti, Narasimman Gurusamy, et al.. (2008). Identification by a differential proteomic approach of the induced stress and redox proteins by resveratrol in the normal and diabetic rat heart. Journal of Cellular and Molecular Medicine. 12(5a). 1677–1689. 21 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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