Sjef Copray
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Pluripotent Stem Cells Research 18
- Epigenetics and DNA Methylation 6
- CRISPR and Genetic Engineering 4
-
- Neurogenesis and neuroplasticity mechanisms 25
- Co-authors
- Erik Boddeke (23 shared papers)Veerakumar Balasubramaniyan (9 shared papers)Falak Sher (7 shared papers)Jon Dang (1 shared paper)Tim Clarner (1 shared paper)Cordian Beyer (1 shared paper)Markus Kipp (1 shared paper)Nieske Brouwer (8 shared papers)
- Journals
- Glia (4 papers)Stem Cells (4 papers)Muscle & Nerve (3 papers)Cellular Reprogramming (3 papers)Cell Transplantation (2 papers)
- Partner nations
- NetherlandsUnited StatesBrazil
In The Last Decade
Sjef Copray
55 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 106
- Developmental Neuroscience 818
- Neurology 417
- Genetics 333
- Cellular and Molecular Neuroscience 516
- Cancer Research 315
Countries citing papers authored by Sjef Copray
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
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-authors
The 25 scholars most cited alongside Sjef Copray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 395 | |
| 2 | 2011 | 305 | |
| 3 | 2008 | 150 | |
| 4 | 2014 | 142 | |
| 5 | 2006 | 124 | |
| 6 | 2001 | 117 | |
| 7 | 2011 | 108 | |
| 8 | 2005 | 104 | |
| 9 | 2009 | 68 | |
| 10 | 2014 | 61 | |
| 11 | 2020 | 58 | |
| 12 | 2012 | 56 | |
| 13 | 2010 | 53 | |
| 14 | 2009 | 52 | |
| 15 | 2014 | 50 | |
| 16 | 2016 | 50 | |
| 17 | 2003 | 47 | |
| 18 | 2014 | 44 | |
| 19 | 2000 | 44 | |
| 20 | 2008 | 42 |
About Sjef Copray
Sjef Copray is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Oncology, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (25 papers), Pluripotent Stem Cells Research (18 papers), Nerve injury and regeneration (16 papers), Multiple Sclerosis Research Studies (7 papers), Epigenetics and DNA Methylation (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (818 citations), Neurology (417 citations), Genetics (333 citations), Cellular and Molecular Neuroscience (516 citations) and Cancer Research (315 citations). Sjef Copray has collaborated with scholars based in Netherlands, United States and Brazil. Frequent co-authors include Erik Boddeke, Veerakumar Balasubramaniyan, Falak Sher, Jon Dang, Tim Clarner, Cordian Beyer, Markus Kipp, Nieske Brouwer, Marcin Czepiel and Britta Küst. Their work appears in journals such as Glia, Stem Cells, Muscle & Nerve, Cellular Reprogramming and Cell Transplantation.
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.