Anne Rosser

11.0k total citations · 1 hit paper
221 papers, 7.4k citations indexed

About

Anne Rosser is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Anne Rosser has authored 221 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Cellular and Molecular Neuroscience, 104 papers in Molecular Biology and 100 papers in Neurology. Recurrent topics in Anne Rosser's work include Genetic Neurodegenerative Diseases (133 papers), Neurological disorders and treatments (82 papers) and Pluripotent Stem Cells Research (52 papers). Anne Rosser is often cited by papers focused on Genetic Neurodegenerative Diseases (133 papers), Neurological disorders and treatments (82 papers) and Pluripotent Stem Cells Research (52 papers). Anne Rosser collaborates with scholars based in United Kingdom, United States and Germany. Anne Rosser's co-authors include Stephen B. Dunnett, Clive N. Svendsen, Monica Busse, Richard Armstrong, Maeve A. Caldwell, J. R. Hodges, Roger A. Barker, E.B. Keverne, Barbara J. Sahakian and Lori Quinn and has published in prestigious journals such as PLoS ONE, Brain and Development.

In The Last Decade

Anne Rosser

213 papers receiving 7.3k citations

Hit Papers

Potential disease-modifyi... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anne Rosser 4.4k 3.6k 2.3k 1.6k 614 221 7.4k
Curt R. Freed 4.4k 1.0× 4.0k 1.1× 2.7k 1.1× 1.5k 0.9× 514 0.8× 138 8.6k
R. Jeroen Pasterkamp 4.9k 1.1× 5.1k 1.4× 2.2k 1.0× 1.9k 1.1× 1.3k 2.2× 166 11.1k
Alexander Storch 3.0k 0.7× 3.4k 0.9× 4.0k 1.7× 1.5k 0.9× 1.2k 2.0× 328 10.4k
Vassilis E. Koliatsos 4.7k 1.1× 3.3k 0.9× 1.6k 0.7× 2.1k 1.3× 800 1.3× 120 9.2k
Luciano Conti 2.7k 0.6× 4.2k 1.2× 690 0.3× 1.3k 0.8× 434 0.7× 122 6.2k
Åke Seiger 3.3k 0.8× 1.6k 0.4× 1.0k 0.4× 1.6k 1.0× 175 0.3× 68 5.8k
Luis B. Tovar‐y‐Romo 5.3k 1.2× 2.3k 0.6× 1.3k 0.5× 2.3k 1.4× 694 1.1× 111 8.0k
Marc Peschanski 5.5k 1.2× 5.3k 1.5× 2.1k 0.9× 1.5k 0.9× 750 1.2× 224 10.8k
Jeffrey H. Kordower 4.6k 1.0× 2.8k 0.8× 1.8k 0.8× 1.4k 0.8× 195 0.3× 109 7.5k
Martin Maršala 3.2k 0.7× 3.2k 0.9× 1.2k 0.5× 1.2k 0.8× 1.1k 1.7× 181 8.6k

Countries citing papers authored by Anne Rosser

Since Specialization
Citations

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

Fields of papers citing papers by Anne Rosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Rosser

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Rosser. A scholar is included among the top collaborators of Anne Rosser 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 Anne Rosser. Anne Rosser 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.
Paisey, Stephen J., Lesley Jones, David J. Harrison, et al.. (2025). Imaging of human stem cell-derived dopamine grafts correlates with behavioural recovery and reveals microstructural brain changes. Neurobiology of Disease. 209. 106910–106910.
2.
Tan, Andrew M., Michal Geva, Y. Paul Goldberg, et al.. (2025). Antidopaminergic medications in Huntington's disease. Journal of Huntington s Disease. 14(1). 16–29. 1 indexed citations
3.
Harrison, David J., Yatish Patel, Zubeyde Bayram-Weston, et al.. (2025). Complex cognitive and motivational deficits precede motor dysfunction in the zQ175 (190 CAG repeat) Huntington's disease model. Experimental Neurology. 392. 115350–115350.
4.
Langavant, Laurent Cléret de, Katia Youssov, Renaud Massart, et al.. (2024). The joint memory effect: challenging the selfish stigma in Huntington’s disease?. Brain Communications. 7(1). fcae440–fcae440.
5.
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
7.
8.
Lunven, Marine, Katia Youssov, Blanche Bapst, et al.. (2023). A new approach to digitized cognitive monitoring: validity of the SelfCog in Huntington’s disease. Brain Communications. 5(2). fcad043–fcad043. 3 indexed citations
9.
Rickards, Hugh, et al.. (2023). An Overview of Specialist Services for Huntington’s Disease in the United Kingdom. Journal of Huntington s Disease. 12(4). 363–370. 1 indexed citations
10.
Monzón‐Sandoval, Jimena, et al.. (2023). Single-Cell Transcriptomics Reveals Conserved Regulatory Networks in Human and Mouse Interneuron Development. International Journal of Molecular Sciences. 24(9). 8122–8122. 24 indexed citations
11.
Lunven, Marine, Katia Youssov, Blanche Bapst, et al.. (2022). The striatum in time production: The model of Huntington's disease in longitudinal study. Neuropsychologia. 179. 108459–108459. 1 indexed citations
12.
Bells, Sonya, Elizabeth Coulthard, Greg D. Parker, et al.. (2020). Drumming Motor Sequence Training Induces Apparent Myelin Remodelling in Huntington’s Disease: A Longitudinal Diffusion MRI and Quantitative Magnetization Transfer Study. Journal of Huntington s Disease. 9(3). 303–320. 10 indexed citations
13.
Bennasar, Mohamed, et al.. (2018). Automated Assessment of Movement Impairment in Huntington’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(10). 2062–2069. 25 indexed citations
14.
Quinn, Lori, Mark Kelson, Helen Dawes, et al.. (2016). A randomized, controlled trial of a multi-modal exercise intervention in Huntington’s disease. Parkinsonism & Related Disorders. 31. 46–52. 64 indexed citations
15.
Fritz, Nora E., et al.. (2016). Motor-cognitive dual-task deficits in individuals with early-mid stage Huntington disease. Gait & Posture. 49. 283–289. 28 indexed citations
16.
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
17.
Collett, Johnny, Patrick Esser, Hanan Khalil, et al.. (2014). Insights into gait disorders: Walking variability using phase plot analysis, Huntington's disease. Gait & Posture. 40(4). 694–700. 38 indexed citations
18.
Dawes, Helen, Johnny Collett, Lori Quinn, et al.. (2014). Exercise testing and training in people with Huntington’s disease. Clinical Rehabilitation. 29(2). 196–206. 19 indexed citations
19.
Squitieri, Ferdinando, G. Bernhard Landwehrmeyer, Ralf Reilmann, et al.. (2013). One-year safety and tolerability profile of pridopidine in patients with Huntington disease. Neurology. 80(12). 1086–1094. 16 indexed citations
20.
Busse, Monica, Hanan Khalil, Simon P. Brooks, Lori Quinn, & Anne Rosser. (2012). Practice, Progress and Future Directions for Physical Therapies in Huntingtons Disease. Journal of Huntington s Disease. 1(2). 175–185. 8 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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