Cheney Drew

914 total citations
30 papers, 442 citations indexed

About

Cheney Drew is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Cheney Drew has authored 30 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 12 papers in Neurology. Recurrent topics in Cheney Drew's work include Genetic Neurodegenerative Diseases (20 papers), Neurological disorders and treatments (8 papers) and Mitochondrial Function and Pathology (5 papers). Cheney Drew is often cited by papers focused on Genetic Neurodegenerative Diseases (20 papers), Neurological disorders and treatments (8 papers) and Mitochondrial Function and Pathology (5 papers). Cheney Drew collaborates with scholars based in United Kingdom, United States and Australia. Cheney Drew's co-authors include A. Jennifer Morton, Patrick N. Pallier, Rhys H. Thomas, Monica Busse, Nils Brose, Dervila Glynn, Anne Rosser, Kerstin Reim, Lori Quinn and Kerenza Hood and has published in prestigious journals such as Brain, Annals of Neurology and Neuroscience.

In The Last Decade

Cheney Drew

29 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheney Drew United Kingdom 13 234 197 115 58 52 30 442
Ariana P. Mullin United States 13 250 1.1× 215 1.1× 133 1.2× 92 1.6× 49 0.9× 16 564
Catrin Wernicke Germany 18 249 1.1× 246 1.2× 82 0.7× 50 0.9× 46 0.9× 27 616
Daniel Zielonka Poland 13 405 1.7× 369 1.9× 186 1.6× 28 0.5× 61 1.2× 34 597
Anthony W. Zoghbi United States 10 118 0.5× 135 0.7× 93 0.8× 51 0.9× 98 1.9× 16 447
Francesca Marchisella Italy 10 159 0.7× 145 0.7× 42 0.4× 55 0.9× 19 0.4× 13 412
Svenja V. Trossbach Germany 14 188 0.8× 387 2.0× 95 0.8× 73 1.3× 64 1.2× 28 691
James Dell’Orco United States 9 295 1.3× 287 1.5× 107 0.9× 35 0.6× 11 0.2× 9 533
Verônica M. Saia‐Cereda Brazil 10 100 0.4× 241 1.2× 60 0.5× 38 0.7× 37 0.7× 14 465
Manuela Di Benedetto Italy 12 324 1.4× 309 1.6× 64 0.6× 63 1.1× 76 1.5× 20 566
Karen Zheng United States 4 373 1.6× 236 1.2× 94 0.8× 34 0.6× 59 1.1× 4 652

Countries citing papers authored by Cheney Drew

Since Specialization
Citations

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

Fields of papers citing papers by Cheney Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheney Drew

This figure shows the co-authorship network connecting the top 25 collaborators of Cheney Drew. A scholar is included among the top collaborators of Cheney Drew 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 Cheney Drew. Cheney Drew 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.
Hoeyer, Klaus, Kali Barawi, Cheney Drew, et al.. (2024). Searching for information about stem cells online in an age of artificial intelligence: How should the stem cell community respond?. Stem Cell Reports. 19(2). 159–162. 2 indexed citations
2.
Doheny, Emer P., et al.. (2024). Estimation of Gait Parameters in Huntington’s Disease Using Wearable Sensors in the Clinic and Free-living Conditions. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 2239–2249. 1 indexed citations
3.
4.
Doheny, Emer P., Laura Mills, Cheney Drew, et al.. (2024). Language-Independent Acoustic Biomarkers for Quantifying Speech Impairment in Huntington's Disease. American Journal of Speech-Language Pathology. 33(3). 1390–1405. 2 indexed citations
5.
6.
Metzler‐Baddeley, Claudia, et al.. (2023). HD-DRUM, a Tablet-Based Drumming Training App Intervention for People With Huntington Disease: App Development Study. JMIR Formative Research. 7. e48395–e48395. 3 indexed citations
7.
Busse, Monica, et al.. (2022). Monitoring and Managing Lifestyle Behaviors Using Wearable Activity Trackers: Mixed Methods Study of Views From the Huntington Disease Community. JMIR Formative Research. 6(6). e36870–e36870. 6 indexed citations
8.
Drew, Cheney, et al.. (2022). F62 Validation of digital assessment of physical activity in Huntington’s disease: comparing fitbit charge 4 step count with research-grade accelerometers. ORCA Online Research @Cardiff (Cardiff University). A58.2–A59. 1 indexed citations
9.
Rosser, Anne, Monica Busse, William Gray, et al.. (2022). Translating cell therapies for neurodegenerative diseases: Huntington’s disease as a model disorder. Brain. 145(5). 1584–1597. 16 indexed citations
10.
11.
Quinn, Lori, Rob Trubey, Nina Gobat, et al.. (2016). Development and Delivery of a Physical Activity Intervention for People With Huntington Disease. Journal of Neurologic Physical Therapy. 40(2). 71–80. 21 indexed citations
12.
Thomas, Rhys H., et al.. (2014). Ethnicity can predict GLRA1 genotypes in hyperekplexia. Journal of Neurology Neurosurgery & Psychiatry. 86(3). 341–343. 8 indexed citations
13.
Thomas, Rhys H., Seo‐Kyung Chung, Thomas D. Cushion, et al.. (2013). Genotype-phenotype correlations in hyperekplexia: apnoeas, learning difficulties and speech delay. Brain. 136(10). 3085–3095. 54 indexed citations
14.
Drew, Cheney, et al.. (2012). Direct Visualisation of Abnormal Dendritic Spine Morphology in the Hippocampus of the R6/2 Transgenic Mouse Model of Huntington's Disease. Journal of Huntington s Disease. 1(2). 267–273. 16 indexed citations
15.
Thompson, Rose, Cheney Drew, & Rhys H. Thomas. (2012). Next Generation Sequencing in the Clinical Domain: Clinical Advantages, Practical, and Ethical Challenges. Advances in protein chemistry and structural biology. 89. 27–63. 20 indexed citations
16.
Drew, Cheney, Kally C. O’Reilly, Michelle A. Lane, & Sarah Bailey. (2010). Chronic administration of 13-cis-retinoic acid does not alter the number of serotoninergic neurons in the mouse raphe nuclei. Neuroscience. 172. 66–73. 3 indexed citations
17.
Trent, Simon, Cheney Drew, Paul J. Mitchell, & Sarah Bailey. (2009). Chronic treatment with 13-cis-retinoic acid changes aggressive behaviours in the resident–intruder paradigm in rats. European Neuropsychopharmacology. 19(12). 876–886. 17 indexed citations
18.
Pallier, Patrick N., Cheney Drew, & A. Jennifer Morton. (2008). The detection and measurement of locomotor deficits in a transgenic mouse model of Huntington's disease are task- and protocol-dependent: Influence of non-motor factors on locomotor function. Brain Research Bulletin. 78(6). 347–355. 51 indexed citations
19.
Drew, Cheney, et al.. (2007). Complexin 1 knockout mice exhibit marked deficits in social behaviours but appear to be cognitively normal. Human Molecular Genetics. 16(19). 2288–2305. 42 indexed citations
20.
Glynn, Dervila, Cheney Drew, Kerstin Reim, Nils Brose, & A. Jennifer Morton. (2005). Profound ataxia in complexin I knockout mice masks a complex phenotype that includes exploratory and habituation deficits. Human Molecular Genetics. 14(16). 2369–2385. 64 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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