Caroline Vance

12.3k total citations · 1 hit paper
41 papers, 4.8k citations indexed

About

Caroline Vance is a scholar working on Neurology, Genetics and Molecular Biology. According to data from OpenAlex, Caroline Vance has authored 41 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Neurology, 21 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Caroline Vance's work include Amyotrophic Lateral Sclerosis Research (33 papers), Neurogenetic and Muscular Disorders Research (21 papers) and Neurological diseases and metabolism (12 papers). Caroline Vance is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (33 papers), Neurogenetic and Muscular Disorders Research (21 papers) and Neurological diseases and metabolism (12 papers). Caroline Vance collaborates with scholars based in United Kingdom, United States and Italy. Caroline Vance's co-authors include Christopher E. Shaw, Boris Rogelj, Ammar Al‐Chalabi, Jemeen Sreedharan, Christopher C.J. Miller, Jacqueline de Belleroche, Ian P. Blair, Jennifer C. Durnall, John D. Mitchell and P. Nigel Leigh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Caroline Vance

39 papers receiving 4.8k citations

Hit Papers

align trajectories

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.

TDP-43 Mutations in Familial and Sporadic Amyotrophic Lateral Sclerosis

2008 2.0k citations Jemeen Sreedharan, Ian P. Blair et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caroline Vance United Kingdom	22	3.6k	2.2k	2.1k	836	743	41	4.8k
Edor Kabashi France	33	3.5k 1.0×	2.0k 0.9×	2.0k 1.0×	800 1.0×	677 0.9×	63	4.7k
Kelly L. Williams Australia	21	2.6k 0.7×	1.6k 0.8×	1.5k 0.7×	677 0.8×	539 0.7×	53	3.6k
Jiou Wang United States	24	2.2k 0.6×	1.9k 0.9×	1.2k 0.5×	400 0.5×	445 0.6×	32	3.4k
Sandra Almeida United States	29	2.0k 0.5×	2.1k 1.0×	1.0k 0.5×	296 0.4×	697 0.9×	45	3.6k
Karen Jansen‐West United States	25	1.6k 0.4×	1.7k 0.8×	877 0.4×	546 0.7×	857 1.2×	37	3.1k
Diane McKenna‐Yasek United States	25	1.9k 0.5×	1.5k 0.7×	1.2k 0.6×	531 0.6×	386 0.5×	35	3.0k
Steven Ackerley United Kingdom	20	2.8k 0.8×	2.4k 1.1×	1.4k 0.7×	723 0.9×	889 1.2×	21	4.8k
Mauro Cozzolino Italy	33	1.7k 0.5×	1.4k 0.6×	740 0.3×	476 0.6×	484 0.7×	62	2.9k
Peter E.A. Ash United States	17	1.8k 0.5×	2.0k 0.9×	868 0.4×	323 0.4×	881 1.2×	21	3.3k
Christopher J. Donnelly United States	23	1.4k 0.4×	2.3k 1.0×	942 0.4×	313 0.4×	252 0.3×	35	3.4k

Countries citing papers authored by Caroline Vance

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Vance

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Vance

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

All Works

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20 of 20 papers shown

Marcadet, Laetitia, Cheng Zhan, John W. Kennedy, et al.. (2025). Targeting lipid droplets in FUS-linked amyotrophic lateral sclerosis mitigates neuronal and astrocytic lipotoxicity. Brain. 149(2). 472–488.

Trist, Benjamin G., Jennifer A. Fifita, Alison Hogan, et al.. (2022). Co-deposition of SOD1, TDP-43 and p62 proteinopathies in ALS: evidence for multifaceted pathways underlying neurodegeneration. Acta Neuropathologica Communications. 10(1). 122–122. 29 indexed citations

Gotkine, Marc, Martina de Majo, Chun Hao Wong, et al.. (2021). A recessive S174X mutation in Optineurin causes amyotrophic lateral sclerosis through a loss of function via allele-specific nonsense-mediated decay. Neurobiology of Aging. 106. 1–6. 5 indexed citations

Mitchell, Jacqueline C., et al.. (2018). Review: Modelling the pathology and behaviour of frontotemporal dementia. Neuropathology and Applied Neurobiology. 45(1). 58–80. 12 indexed citations

Gkazi, Soragia Athina, Claire Troakes, Simon Topp, et al.. (2018). Striking phenotypic variation in a family with the P506S UBQLN2 mutation including amyotrophic lateral sclerosis, spastic paraplegia, and frontotemporal dementia. Neurobiology of Aging. 73. 229.e5–229.e9. 15 indexed citations

Trist, Benjamin G., Katherine M. Davies, Veronica Cottam, et al.. (2017). Amyotrophic lateral sclerosis-like superoxide dismutase 1 proteinopathy is associated with neuronal loss in Parkinson’s disease brain. Acta Neuropathologica. 134(1). 113–127. 85 indexed citations

Mitchell, Jacqueline C., et al.. (2017). Mitochondrial abnormalities and disruption of the neuromuscular junction precede the clinical phenotype and motor neuron loss in hFUSWT transgenic mice. Human Molecular Genetics. 27(3). 463–474. 67 indexed citations

Wong, Chun Hao, Simon Topp, Soragia Athina Gkazi, et al.. (2015). The CHCHD10 P34S variant is not associated with ALS in a UK cohort of familial and sporadic patients. Neurobiology of Aging. 36(10). 2908.e17–2908.e18. 14 indexed citations

Smith, Bradley, Caroline Vance, Emma L. Scotter, et al.. (2014). Novel mutations support a role for Profilin 1 in the pathogenesis of ALS. Neurobiology of Aging. 36(3). 1602.e17–1602.e27. 81 indexed citations

10.

Scotter, Emma L., Caroline Vance, Agnes L. Nishimura, et al.. (2014). Differential roles of the ubiquitin proteasome system (UPS) and autophagy in the clearance of soluble and aggregated TDP-43 species. Journal of Cell Science. 127(Pt 6). 1263–78. 211 indexed citations

11.

Lee, Youn‐Bok, Han-Jou Chen, João Peres, et al.. (2013). Expanded G4C2 repeats linked to C9ORF72ALS and FTD form length-dependent RNA foci, sequester RNA binding proteins and are neurotoxic. Molecular Neurodegeneration. 8(S1). 6 indexed citations

12.

Miller, Jack W., Bradley Smith, Simon Topp, et al.. (2012). Mutation analysis of VCP in British familial and sporadic amyotrophic lateral sclerosis patients. Neurobiology of Aging. 33(11). 2721.e1–2721.e2. 16 indexed citations

13.

Mitchell, Jacqueline C., Philip McGoldrick, Caroline Vance, et al.. (2012). Overexpression of human wild-type FUS causes progressive motor neuron degeneration in an age- and dose-dependent fashion. Acta Neuropathologica. 125(2). 273–288. 204 indexed citations

14.

Troakes, Claire, Tibor Hortobágyi, Caroline Vance, et al.. (2012). Transportin 1 colocalization with Fused in Sarcoma (FUS) inclusions is not characteristic for amyotrophic lateral sclerosis‐FUS confirming disrupted nuclear import of mutant FUS and distinguishing it from frontotemporal lobar degeneration with FUS inclusions. Neuropathology and Applied Neurobiology. 39(5). 553–561. 30 indexed citations

15.

Hortobágyi, Tibor, Claire Troakes, Agnes L. Nishimura, et al.. (2011). Optineurin inclusions occur in a minority of TDP-43 positive ALS and FTLD-TDP cases and are rarely observed in other neurodegenerative disorders. Acta Neuropathologica. 121(4). 519–527. 62 indexed citations

16.

Troakes, Claire, Satomi Maekawa, Lokesh Wijesekera, et al.. (2011). An MND/ALS phenotype associated with C9orf72 repeat expansion: Abundant p62‐positive, TDP‐43‐negative inclusions in cerebral cortex, hippocampus and cerebellum but without associated cognitive decline. Neuropathology. 32(5). 505–514. 105 indexed citations

17.

Ticozzi, Nicola, Caroline Vance, Aurélie Leclerc, et al.. (2011). Mutational analysis reveals the FUS homolog TAF15 as a candidate gene for familial amyotrophic lateral sclerosis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 156(3). 285–290. 136 indexed citations

18.

Mitchell, John, Praveen Paul, Han-Jou Chen, et al.. (2010). Familial amyotrophic lateral sclerosis is associated with a mutation in D-amino acid oxidase. Proceedings of the National Academy of Sciences. 107(16). 7556–7561. 193 indexed citations

19.

Sreedharan, Jemeen, Ian P. Blair, Xun Hu, et al.. (2008). TDP-43 Mutations in Familial and Sporadic Amyotrophic Lateral Sclerosis. Science. 319(5870). 1668–1672. 2037 indexed citations breakdown →

20.

Ruddy, Deborah, M. Parton, Ammar Al‐Chalabi, et al.. (2003). Two Families with Familial Amyotrophic Lateral Sclerosis Are Linked to a Novel Locus on Chromosome 16q. The American Journal of Human Genetics. 73(2). 390–396. 56 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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