Sjef Copray

3.3k total citations
55 papers, 2.6k citations indexed

About

Sjef Copray is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sjef Copray has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 26 papers in Developmental Neuroscience and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sjef Copray's work include Neurogenesis and neuroplasticity mechanisms (26 papers), Pluripotent Stem Cells Research (21 papers) and Nerve injury and regeneration (16 papers). Sjef Copray is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (26 papers), Pluripotent Stem Cells Research (21 papers) and Nerve injury and regeneration (16 papers). Sjef Copray collaborates with scholars based in Netherlands, United States and Germany. Sjef Copray's co-authors include Erik Boddeke, Veerakumar Balasubramaniyan, Falak Sher, Jon Dang, Tim Clarner, Markus Kipp, Cordian Beyer, Nieske Brouwer, Marcin Czepiel and Britta Küst and has published in prestigious journals such as Genes & Development, Molecular Cell and PLoS ONE.

In The Last Decade

Sjef Copray

55 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sjef Copray Netherlands 29 1.3k 801 521 431 357 55 2.6k
Patrick Küry Germany 34 1.4k 1.0× 916 1.1× 717 1.4× 633 1.5× 277 0.8× 119 3.2k
Tetsuya Imura Japan 21 1.2k 0.9× 1.3k 1.6× 1.1k 2.0× 740 1.7× 315 0.9× 41 3.0k
Brett M. Morrison United States 23 1.3k 1.0× 711 0.9× 824 1.6× 734 1.7× 447 1.3× 33 3.5k
Alastair Wilkins United Kingdom 30 979 0.7× 744 0.9× 725 1.4× 562 1.3× 611 1.7× 71 2.8k
Steven Petratos Australia 27 891 0.7× 604 0.8× 949 1.8× 354 0.8× 226 0.6× 71 2.5k
Peter Bannerman United States 33 1.3k 1.0× 719 0.9× 1.1k 2.1× 530 1.2× 137 0.4× 67 2.8k
Dan Frenkel Israel 17 740 0.6× 765 1.0× 544 1.0× 777 1.8× 383 1.1× 22 2.4k
Yona Goldshmit Australia 28 902 0.7× 644 0.8× 997 1.9× 377 0.9× 117 0.3× 40 2.3k
Thor Ostenfeld United Kingdom 15 1.3k 0.9× 1.1k 1.4× 1.0k 2.0× 508 1.2× 336 0.9× 24 2.6k
Kunlin Jin United States 17 1.2k 0.9× 1.0k 1.3× 939 1.8× 697 1.6× 259 0.7× 30 2.7k

Countries citing papers authored by Sjef Copray

Since Specialization
Citations

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

Fields of papers citing papers by Sjef Copray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sjef Copray

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

All Works

20 of 20 papers shown
1.
Zhang, Ye, et al.. (2017). Participation of perforin in mediating dopaminergic neuron loss in MPTP-induced Parkinson's disease in mice. Biochemical and Biophysical Research Communications. 484(3). 618–622. 5 indexed citations
2.
Schachner, Melitta, et al.. (2016). Effect of Cell Adhesion Molecules on the Neurite Outgrowth of Induced Pluripotent Stem Cell–Derived Dopaminergic Neurons. Cellular Reprogramming. 18(2). 55–66. 6 indexed citations
3.
Czepiel, Marcin, Evelyn M. Wesseling, Veerakumar Balasubramaniyan, et al.. (2016). Characterization and comparison of osteoblasts derived from mouse embryonic stem cells and induced pluripotent stem cells. Journal of Bone and Mineral Metabolism. 35(1). 21–30. 17 indexed citations
4.
Copray, Sjef, et al.. (2016). The Therapeutic Potential of Induced Pluripotent Stem Cells After Stroke: Evidence from Rodent Models. Current Stem Cell Research & Therapy. 11(2). 166–174. 7 indexed citations
5.
Brouwer, Nieske, Evelyn M. Wesseling, Divya Raj, et al.. (2015). Multipotent stem cell factor UGS148 is a marker for tanycytes in the adult hypothalamus. Molecular and Cellular Neuroscience. 65. 21–30. 11 indexed citations
6.
Czepiel, Marcin, et al.. (2014). Generation of Induced Pluripotent Stem Cells from Hair Follicle Bulge Neural Crest Stem Cells. Cellular Reprogramming. 16(5). 307–313. 2 indexed citations
7.
Faria, Daniele de Paula, Sjef Copray, Carlos Alberto Buchpiguel, Rudi Dierckx, & Erik F. J. de Vries. (2014). PET imaging in multiple sclerosis. Journal of Neuroimmune Pharmacology. 9(4). 468–482. 19 indexed citations
8.
Boddeke, Erik, et al.. (2014). Pluripotent Stem Cells for Schwann Cell Engineering. Stem Cell Reviews and Reports. 11(2). 205–218. 32 indexed citations
9.
Faria, Daniele de Paula, Erik F. J. de Vries, Jürgen W. A. Sijbesma, et al.. (2013). PET imaging of demyelination and remyelination in the cuprizone mouse model for multiple sclerosis: A comparison between [11C]CIC and [11C]MeDAS. NeuroImage. 87. 395–402. 34 indexed citations
10.
Sher, Falak, Sandra Amor, Wouter H. Gerritsen, et al.. (2012). Intraventricularly Injected Olig2-NSCs Attenuate Established Relapsing–Remitting EAE in Mice. Cell Transplantation. 21(9). 1883–1897. 25 indexed citations
11.
Boddeke, Erik, et al.. (2012). Induced Pluripotent Stem Cell Technology and Direct Conversion: New Possibilities to Study and Treat Parkinson’s Disease. Stem Cell Reviews and Reports. 9(4). 505–513. 10 indexed citations
12.
Bhat, Krishna, Katrina L. Salazar, Veerakumar Balasubramaniyan, et al.. (2011). The transcriptional coactivator TAZ regulates mesenchymal differentiation in malignant glioma. Genes & Development. 25(24). 2594–2609. 298 indexed citations
13.
Sher, Falak, Erik Boddeke, & Sjef Copray. (2010). Ezh2 Expression in Astrocytes Induces Their Dedifferentiation Toward Neural Stem Cells. Cellular Reprogramming. 13(1). 1–6. 48 indexed citations
14.
Kipp, Markus, Tim Clarner, Jon Dang, Sjef Copray, & Cordian Beyer. (2009). The cuprizone animal model: new insights into an old story. Acta Neuropathologica. 118(6). 723–736. 380 indexed citations
15.
Schäfer, Karl‐Herbert, Chris Van Ginneken, & Sjef Copray. (2009). Plasticity and Neural Stem Cells in the Enteric Nervous System. The Anatomical Record. 292(12). 1940–1952. 47 indexed citations
16.
Balasubramaniyan, Veerakumar, et al.. (2004). Transient Expression of Olig1 Initiates the Differentiation of Neural Stem Cells into Oligodendrocyte Progenitor Cells. Stem Cells. 22(6). 878–882. 27 indexed citations
17.
Wang, Liang‐Chun, Sjef Copray, Nieske Brouwer, Marcel F. Meek, & Daniel Kernell. (2002). Regional distribution of slow‐twitch muscle fibers after reinnervation in adult rat hindlimb muscles. Muscle & Nerve. 25(6). 805–815. 19 indexed citations
18.
Biber, Knut, Angelika Rappert, Helmut Kettenmann, et al.. (2002). Neuronal SLC (CCL21) Expression: Implications for the Neuron-Microglial Signaling System. PubMed. 45–60. 7 indexed citations
19.
Biber, Knut, André Sauter, Nieske Brouwer, Sjef Copray, & Hendrikus Boddeke. (2001). Ischemia‐induced neuronal expression of the microglia attracting chemokine secondary lymphoid‐tissue chemokine (SLC). Glia. 34(2). 121–133. 111 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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