Charlotte Ridler

1.5k total citations · 1 hit paper
68 papers, 1.1k citations indexed

About

Charlotte Ridler is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Charlotte Ridler has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Physiology and 14 papers in Neurology. Recurrent topics in Charlotte Ridler's work include Alzheimer's disease research and treatments (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). Charlotte Ridler is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). Charlotte Ridler collaborates with scholars based in United States, United Kingdom and Germany. Charlotte Ridler's co-authors include Sarah Mizielinska, Adrian M. Isaacs, Frances E. Norona, Emma L. Clayton, Pietro Fratta, Tammaryn Lashley, Linda Partridge, Teresa Niccoli, Thomas G. Moens and Sebastian Grönke and has published in prestigious journals such as Science, The Lancet and Acta Neuropathologica.

In The Last Decade

Charlotte Ridler

68 papers receiving 1.1k citations

Hit Papers

C9orf72 repeat expansions cause neurodegeneration in Dros... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. C9orf72 repeat expansions cause neurodegeneration in Drosophila through arginine-rich proteins
    2014 510 citations Sarah Mizielinska, Sebastian Grönke et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte Ridler United States 9 668 536 424 209 171 68 1.1k
Valentina Sardone United Kingdom 13 552 0.8× 850 1.6× 439 1.0× 161 0.8× 126 0.7× 14 1.2k
Cheryl Leystra‐Lantz Canada 17 888 1.3× 592 1.1× 458 1.1× 154 0.7× 245 1.4× 24 1.2k
Basar Cenik United States 10 930 1.4× 733 1.4× 440 1.0× 115 0.6× 274 1.6× 13 1.4k
Margaret Wong United States 14 563 0.8× 797 1.5× 378 0.9× 139 0.7× 140 0.8× 27 1.3k
Paul W.J. van Vught Netherlands 14 732 1.1× 395 0.7× 439 1.0× 153 0.7× 140 0.8× 22 1.0k
Lynsey Bilsland United Kingdom 9 515 0.8× 606 1.1× 316 0.7× 346 1.7× 116 0.7× 10 1.2k
Reika Wate Japan 13 531 0.8× 319 0.6× 263 0.6× 133 0.6× 95 0.6× 27 707
Gerald Goodall United Kingdom 15 801 1.2× 457 0.9× 358 0.8× 108 0.5× 317 1.9× 19 1.3k
Stefania Battistini Italy 18 543 0.8× 411 0.8× 299 0.7× 127 0.6× 199 1.2× 51 1.0k
Javier H. Jara United States 14 434 0.6× 249 0.5× 271 0.6× 175 0.8× 106 0.6× 15 677

Countries citing papers authored by Charlotte Ridler

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Ridler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Ridler

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Ridler. A scholar is included among the top collaborators of Charlotte Ridler 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 Charlotte Ridler. Charlotte Ridler 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.
Ridler, Charlotte. (2019). Personalized vaccines use tumour fingerprint to target glioblastoma. Nature Reviews Neurology. 15(2). 59–59. 5 indexed citations
2.
Ridler, Charlotte. (2018). Oligodendrocytes — active accomplices in MS pathogenesis?. Nature Reviews Neurology. 15(1). 3–3. 1 indexed citations
3.
Ridler, Charlotte. (2018). Truncated α-synuclein causes mitochondrial toxicity. Nature Reviews Neurology. 14(5). 252–252. 1 indexed citations
4.
Ridler, Charlotte. (2018). MicroRNA from dying neurons triggers astrocytosis in ALS. Nature Reviews Neurology. 14(10). 572–572. 2 indexed citations
5.
Ridler, Charlotte. (2018). Drop seizures cut by cannabidiol. Nature Reviews Neurology. 14(7). 380–381. 1 indexed citations
6.
Ridler, Charlotte. (2018). New drug blocks brain metastasis. Nature Reviews Neurology. 14(8). 452–452. 3 indexed citations
7.
Ridler, Charlotte. (2018). CRISPR therapy shows promise in Duchenne muscular dystrophy. Nature Reviews Neurology. 14(11). 632–633. 8 indexed citations
8.
Ridler, Charlotte. (2018). New biomarker predicts disability in MS. Nature Reviews Neurology. 14(7). 380–380. 1 indexed citations
9.
Ridler, Charlotte. (2018). Artificial intelligence accelerates detection of neurological illness. Nature Reviews Neurology. 14(10). 572–572. 3 indexed citations
10.
Ridler, Charlotte. (2018). Erenumab succeeds in alleviating migraine where other treatments fail. Nature Reviews Neurology. 14(12). 691–691. 1 indexed citations
11.
Moens, Thomas G., Sarah Mizielinska, Teresa Niccoli, et al.. (2018). Sense and antisense RNA are not toxic in Drosophila models of C9orf72-associated ALS/FTD. Acta Neuropathologica. 135(3). 445–457. 47 indexed citations
12.
Ridler, Charlotte. (2018). Nodding syndrome discovered to be a tauopathy. Nature Reviews Neurology. 14(11). 632–632. 2 indexed citations
13.
Ridler, Charlotte. (2018). Cholesterol crystals thwart repair in old CNS. Nature Reviews Neurology. 14(3). 126–126. 1 indexed citations
14.
Ridler, Charlotte. (2017). CD47 antibody helps phagocytes fight paediatric cancer. Nature Reviews Neurology. 13(5). 258–258. 4 indexed citations
15.
Ridler, Charlotte. (2017). Dementia prevention hits the headlines at AAIC17. Nature Reviews Neurology. 13(10). 576–576. 1 indexed citations
16.
Ridler, Charlotte. (2016). Gut microbiota promote bone growth via IGF1. Nature Reviews Endocrinology. 13(1). 5–5. 3 indexed citations
17.
Ridler, Charlotte. (2016). Inheritance via mitochondria. Nature Reviews Endocrinology. 12(9). 497–497. 4 indexed citations
18.
Balendra, Rubika, Sarah Mizielinska, Thomas G. Moens, et al.. (2016). Molecular mechanisms and therapeutic strategies in amyotrophic lateral sclerosis caused by C9orf72 mutations. The Lancet. 387. S13–S13. 1 indexed citations
19.
Ridler, Charlotte. (2016). High diabetes-mellitus-linked mortality in Mexico. Nature Reviews Endocrinology. 13(2). 66–66. 1 indexed citations
20.
Mizielinska, Sarah, Sebastian Grönke, Teresa Niccoli, et al.. (2014). C9orf72 repeat expansions cause neurodegeneration in Drosophila through arginine-rich proteins. Science. 345(6201). 1192–1194. 510 indexed citations breakdown →

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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