Linde Kegel

511 total citations
12 papers, 349 citations indexed

About

Linde Kegel is a scholar working on Developmental Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Linde Kegel has authored 12 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental Neuroscience, 6 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Linde Kegel's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (4 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Linde Kegel is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Nerve injury and regeneration (4 papers) and Autoimmune Neurological Disorders and Treatments (3 papers). Linde Kegel collaborates with scholars based in United Kingdom, Netherlands and Japan. Linde Kegel's co-authors include Dies Meijer, John R. Bermingham, Eerik Aunin, Siska Driegen, David A. Lyons, Martine Jaegle, Ronald E. van Kesteren, William T. Hendriks, August B. Smit and Floor J. Stam and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Linde Kegel

12 papers receiving 345 citations

Peers

Linde Kegel

MB

CMN

DN

CB

NEURO

Emanuela Zuccaro Italy

Sara Brignani Netherlands

Laura Carim‐Todd Spain

Doris Dehn Germany

Stéphane Gobron France

Breanne L. Harty United States

Christelle Cadilhac Switzerland

Nave Klaus‐Armin Germany

Christian Somandin Switzerland

Andrés Miguez Spain

Emanuela Zuccaro Italy

Linde Kegel

219 ×1.5

MB

203 ×1.4

CMN

92 ×0.9

DN

62 ×0.8

CB

59 ×1.0

NEURO

Citations per year, relative to Linde Kegel Linde Kegel (= 1×) peers Emanuela Zuccaro

Countries citing papers authored by Linde Kegel

Since Specialization

Citations

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

Fields of papers citing papers by Linde Kegel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linde Kegel

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

All Works

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12 of 12 papers shown

1.

Bin, Jenea M., Daumante Šuminaite, Silvia Benito-Kwiecinski, et al.. (2024). Importin 13-dependent axon diameter growth regulates conduction speeds along myelinated CNS axons. Nature Communications. 15(1). 1790–1790. 5 indexed citations

2.

Moyon, Sarah, Rebecca Frawley, Damien Maréchal, et al.. (2021). TET1-mediated DNA hydroxymethylation regulates adult remyelination in mice. Nature Communications. 12(1). 3359–3359. 48 indexed citations

3.

Kegel, Linde, Marion Baraban, Torben Ruhwedel, et al.. (2020). Neuronal activity disrupts myelinated axon integrity in the absence of NKCC1b. The Journal of Cell Biology. 219(7). 20 indexed citations

4.

Klingseisen, Anna, Linde Kegel, Diane L. Sherman, et al.. (2019). Oligodendrocyte Neurofascin Independently Regulates Both Myelin Targeting and Sheath Growth in the CNS. Developmental Cell. 51(6). 730–744.e6. 28 indexed citations

5.

Lyons, David A. & Linde Kegel. (2019). Oligodendrocytes. Methods in molecular biology. 2 indexed citations

6.

Kegel, Linde, et al.. (2019). Forward Genetic Screen Using Zebrafish to Identify New Genes Involved in Myelination. Methods in molecular biology. 1936. 185–209. 8 indexed citations

7.

Kegel, Linde, Martine Jaegle, Siska Driegen, et al.. (2014). Functional phylogenetic analysis of LGI proteins identifies an interaction motif crucial for myelination. Development. 141(8). 1749–1756. 26 indexed citations

8.

Kegel, Linde, Martine Jaegle, Siska Driegen, et al.. (2014). Functional phylogenetic analysis of LGI proteins identifies an interaction motif crucial for myelination. Journal of Cell Science. 127(8). e1–e1. 2 indexed citations

9.

Kegel, Linde, Eerik Aunin, Dies Meijer, & John R. Bermingham. (2013). LGI Proteins in the Nervous System. ASN NEURO. 5(3). 167–81. 68 indexed citations

10.

Schenk, Geert J., Taco R. Werkman, Wytse J. Wadman, et al.. (2010). Over-expression of the DCLK gene transcript CARP decreases CA3/CA1 network excitability. Brain Research. 1352. 21–34. 6 indexed citations

11.

Özkaynak, Ekim, Gina Abelló, Martine Jaegle, et al.. (2010). Adam22 Is a Major Neuronal Receptor for Lgi4-Mediated Schwann Cell Signaling. Journal of Neuroscience. 30(10). 3857–3864. 74 indexed citations

12.

MacGillavry, Harold D., Floor J. Stam, Linde Kegel, et al.. (2009). NFIL3 and cAMP Response Element-Binding Protein Form a Transcriptional Feedforward Loop that Controls Neuronal Regeneration-Associated Gene Expression. Journal of Neuroscience. 29(49). 15542–15550. 62 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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