Fred de Winter

3.7k total citations
52 papers, 2.8k citations indexed

About

Fred de Winter is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Fred de Winter has authored 52 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 12 papers in Developmental Neuroscience. Recurrent topics in Fred de Winter's work include Nerve injury and regeneration (29 papers), Axon Guidance and Neuronal Signaling (17 papers) and Neurogenesis and neuroplasticity mechanisms (12 papers). Fred de Winter is often cited by papers focused on Nerve injury and regeneration (29 papers), Axon Guidance and Neuronal Signaling (17 papers) and Neurogenesis and neuroplasticity mechanisms (12 papers). Fred de Winter collaborates with scholars based in Netherlands, United Kingdom and United States. Fred de Winter's co-authors include Joost Verhaagen, R. Jeroen Pasterkamp, Anthony Holtmaat, Elizabeth B. Moloney, Joris de Wit, Marc J. Ruitenberg, Martijn J. A. Malessy, Martijn R. Tannemaat, Daniela Carulli and Roman J. Giger and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fred de Winter

48 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred de Winter Netherlands 30 1.9k 916 765 484 343 52 2.8k
Igor Jakovčevski Germany 34 1.1k 0.6× 1.0k 1.1× 936 1.2× 326 0.7× 146 0.4× 68 2.9k
Fatiha Nothias France 29 1.3k 0.7× 725 0.8× 537 0.7× 563 1.2× 146 0.4× 62 2.2k
Richard R. Ribchester United Kingdom 37 2.4k 1.2× 1.8k 2.0× 631 0.8× 498 1.0× 693 2.0× 86 3.9k
Feng‐Quan Zhou United States 30 1.9k 1.0× 1.9k 2.1× 807 1.1× 838 1.7× 131 0.4× 51 3.8k
Von R. King United Kingdom 29 2.5k 1.3× 899 1.0× 957 1.3× 594 1.2× 191 0.6× 34 4.0k
Fernando de Castro Spain 35 1.4k 0.8× 1.5k 1.6× 1.4k 1.8× 366 0.8× 160 0.5× 118 4.0k
Michael W. Sereda Germany 31 2.7k 1.4× 1.6k 1.7× 1.3k 1.7× 546 1.1× 854 2.5× 48 4.6k
George Z. Mentis United States 34 1.1k 0.6× 1.7k 1.8× 364 0.5× 620 1.3× 485 1.4× 65 3.2k
Surindar S. Cheema Australia 33 1.4k 0.8× 1.4k 1.5× 632 0.8× 193 0.4× 799 2.3× 65 3.5k
Markus H. Schwab Germany 31 2.3k 1.2× 2.4k 2.6× 1.8k 2.3× 497 1.0× 381 1.1× 48 5.0k

Countries citing papers authored by Fred de Winter

Since Specialization
Citations

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

Fields of papers citing papers by Fred de Winter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred de Winter. 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 Fred de Winter. The network helps show where Fred de Winter may publish in the future.

Co-authorship network of co-authors of Fred de Winter

This figure shows the co-authorship network connecting the top 25 collaborators of Fred de Winter. A scholar is included among the top collaborators of Fred de Winter 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 Fred de Winter. Fred de Winter 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.
McNamara, Niamh B., Hendrik J. Engelenburg, Aldo Jongejan, et al.. (2024). Distinct transcriptional changes distinguish efficient and poor remyelination in multiple sclerosis. Brain. 148(6). 2201–2217. 5 indexed citations
2.
Zhou, Luming, Guiping Kong, Ilaria Palmisano, et al.. (2022). Reversible CD8 T cell–neuron cross-talk causes aging-dependent neuronal regenerative decline. Science. 376(6594). eabd5926–eabd5926. 70 indexed citations
3.
Winter, Fred de, Isaac Francos-Quijorna, Emily R. Burnside, et al.. (2022). Characterization of an immune-evading doxycycline-inducible lentiviral vector for gene therapy in the spinal cord. Experimental Neurology. 355. 114120–114120. 3 indexed citations
4.
Ahmadlou, Mehran, et al.. (2021). A cell type–specific cortico-subcortical brain circuit for investigatory and novelty-seeking behavior. Science. 372(6543). 66 indexed citations
5.
Leighton, Alexandra H., Juliette E. Cheyne, Paloma P. Maldonado, et al.. (2021). Somatostatin interneurons restrict cell recruitment to retinally driven spontaneous activity in the developing cortex. Cell Reports. 36(1). 109316–109316. 17 indexed citations
6.
Carulli, Daniela, Fred de Winter, & Joost Verhaagen. (2021). Semaphorins in Adult Nervous System Plasticity and Disease. Frontiers in Synaptic Neuroscience. 13. 672891–672891. 80 indexed citations
7.
Carulli, Daniela, Fred de Winter, Elizabeth M. Muir, et al.. (2020). Cerebellar plasticity and associative memories are controlled by perineuronal nets. Proceedings of the National Academy of Sciences. 117(12). 6855–6865. 77 indexed citations
8.
Jong, Arthur P.H. de, Nicky Scheefhals, Eline J. Mertens, et al.. (2020). ORANGE: A CRISPR/Cas9-based genome editing toolbox for epitope tagging of endogenous proteins in neurons. PLoS Biology. 18(4). e3000665–e3000665. 98 indexed citations
9.
Boggio, Elena, Erich Ehlert, Leonardo Lupori, et al.. (2019). Inhibition of Semaphorin3A Promotes Ocular Dominance Plasticity in the Adult Rat Visual Cortex. Molecular Neurobiology. 56(9). 5987–5997. 29 indexed citations
10.
Hoyng, Stefan A., Fred de Winter, Sara Gnavi, et al.. (2015). Gene delivery to rat and human Schwann cells and nerve segments: a comparison of AAV 1–9 and lentiviral vectors. Gene Therapy. 22(10). 767–780. 24 indexed citations
11.
12.
Hoyng, Stefan A., Sara Gnavi, Fred de Winter, et al.. (2014). Developing a potentially immunologically inert tetracycline-regulatable viral vector for gene therapy in the peripheral nerve. Gene Therapy. 21(6). 549–557. 34 indexed citations
13.
Winter, Fred de, Stefan A. Hoyng, Martijn R. Tannemaat, et al.. (2013). Gene therapy approaches to enhance regeneration of the injured peripheral nerve. European Journal of Pharmacology. 719(1-3). 145–152. 15 indexed citations
14.
Hoyng, Stefan A., Martijn R. Tannemaat, Fred de Winter, Joost Verhaagen, & Martijn J. A. Malessy. (2011). Nerve surgery and gene therapy: a neurobiological and clinical perspective. Journal of Hand Surgery (European Volume). 36(9). 735–746. 19 indexed citations
15.
Yang, Jiefei, Bertha Dominguez, Fred de Winter, et al.. (2011). Nestin negatively regulates postsynaptic differentiation of the neuromuscular synapse. Nature Neuroscience. 14(3). 324–330. 41 indexed citations
16.
17.
Winter, Fred de, Anthony Holtmaat, & Joost Verhaagen. (2002). Neuropilin and Class 3 Semaphorins In Nervous System Regeneration. Advances in experimental medicine and biology. 515. 115–139. 59 indexed citations
18.
Holtmaat, Anthony, Fred de Winter, Joris de Wit, et al.. (2002). Semaphorins: contributors to structural stability of hippocampal networks?. Progress in brain research. 138. 17–38. 16 indexed citations
19.
Dijkhuizen, Paul A., R. Jeroen Pasterkamp, Wim Th. Hermens, et al.. (1998). Adenoviral Vector-Mediated Gene Delivery to Injured Rat Peripheral Nerve. Journal of Neurotrauma. 15(6). 387–397. 27 indexed citations
20.
Smit, August B., Sabine Spijker, Jan van Minnen, et al.. (1996). Expression and characterization of molluscan insulin-related peptide VII from the molluscLymnaea stagnalis. Neuroscience. 70(2). 589–596. 70 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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