Dawn Langdon

8.4k total citations · 2 hit papers
138 papers, 6.0k citations indexed

About

Dawn Langdon is a scholar working on Pathology and Forensic Medicine, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Dawn Langdon has authored 138 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Pathology and Forensic Medicine, 18 papers in Neurology and 17 papers in Cognitive Neuroscience. Recurrent topics in Dawn Langdon's work include Multiple Sclerosis Research Studies (95 papers), Long-Term Effects of COVID-19 (10 papers) and Peripheral Neuropathies and Disorders (9 papers). Dawn Langdon is often cited by papers focused on Multiple Sclerosis Research Studies (95 papers), Long-Term Effects of COVID-19 (10 papers) and Peripheral Neuropathies and Disorders (9 papers). Dawn Langdon collaborates with scholars based in United Kingdom, Germany and United States. Dawn Langdon's co-authors include Alan J. Thompson, Lauren Krupp, Jeremy Hobart, Maria Pia Amato, Bruno Brochet, Lindsey Edwards, Jan Boringa, Iris‐Katharina Penner, Ralph H. B. Benedict and S. Fredrikson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Dawn Langdon

132 papers receiving 5.8k citations

Hit Papers

Recommendations for a Brief International Cognitive As... 2002 2026 2010 2018 2011 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn Langdon United Kingdom 40 4.2k 1.3k 800 743 619 138 6.0k
Iris‐Katharina Penner Switzerland 35 3.6k 0.9× 1.2k 0.9× 850 1.1× 1.3k 1.7× 624 1.0× 149 5.4k
Nancy D. Chiaravalloti United States 50 5.1k 1.2× 2.0k 1.6× 1.7k 2.1× 1.6k 2.2× 973 1.6× 220 8.6k
Peter A. Arnett United States 42 3.1k 0.7× 1.1k 0.8× 636 0.8× 1.0k 1.4× 285 0.5× 155 5.7k
Luca Prosperini Italy 39 3.1k 0.7× 1.3k 1.0× 264 0.3× 986 1.3× 321 0.5× 167 4.5k
Anthony Feinstein Canada 53 5.0k 1.2× 2.5k 2.0× 598 0.7× 1.9k 2.5× 719 1.2× 245 9.6k
James Sumowski United States 30 2.1k 0.5× 643 0.5× 502 0.6× 490 0.7× 449 0.7× 76 3.1k
Pasquale Calabrese Switzerland 31 1.4k 0.3× 854 0.7× 1.2k 1.4× 1.1k 1.5× 283 0.5× 142 4.1k
Letizia Leocani Italy 42 1.7k 0.4× 1.2k 1.0× 2.0k 2.5× 639 0.9× 1.5k 2.5× 241 6.4k
Patrizià Pantano Italy 49 2.4k 0.6× 1.8k 1.4× 1.6k 2.1× 867 1.2× 940 1.5× 194 6.7k
Francesco Patti Italy 49 6.3k 1.5× 2.8k 2.2× 364 0.5× 1.2k 1.6× 672 1.1× 332 9.7k

Countries citing papers authored by Dawn Langdon

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Langdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn Langdon

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Langdon. A scholar is included among the top collaborators of Dawn Langdon 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 Dawn Langdon. Dawn Langdon 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.
Langdon, Dawn, et al.. (2025). An Update on New Approaches to Cognitive Assessment in Multiple Sclerosis. NeuroSci. 6(3). 87–87.
2.
Mills, Roger, et al.. (2024). Stigma and health outcomes in multiple sclerosis: a systematic review. BMC Neurology. 24(1). 346–346. 9 indexed citations
3.
Langdon, Dawn, et al.. (2024). A systematic review to explore patients’ MS knowledge and MS risk knowledge. Neurological Sciences. 45(9). 4185–4195.
4.
Langdon, Dawn, et al.. (2023). A Systematic Review and Meta-Analysis of the Brief Cognitive Assessment for Multiple Sclerosis (BICAMS) International Validations. Journal of Clinical Medicine. 12(2). 703–703. 14 indexed citations
5.
Young, Carolyn, David Rog, Radu Tănăsescu, et al.. (2023). Multiple Sclerosis vision questionnaire (MSVQ-7): Reliability, validity, precision and discrimination. Multiple Sclerosis and Related Disorders. 80. 105115–105115. 2 indexed citations
6.
Langdon, Dawn, et al.. (2023). Health and social care workers experiences of coping while working in the frontline during the COVID-19 pandemic: One year on. PLoS ONE. 18(4). e0284306–e0284306. 2 indexed citations
7.
Langdon, Dawn, et al.. (2022). What would improve MS clinic services for cognition? – A stakeholder panel and survey exploration. Multiple Sclerosis and Related Disorders. 63. 103930–103930. 2 indexed citations
8.
Brochet, Bruno, Raymond Hupperts, Dawn Langdon, et al.. (2021). Treatment satisfaction, safety, and tolerability of cladribine tablets in patients with highly active relapsing multiple sclerosis: CLARIFY-MS study 6-month interim analysis. Multiple Sclerosis and Related Disorders. 57. 103385–103385. 12 indexed citations
9.
Reen, Gurpreet, Eli Silber, & Dawn Langdon. (2021). Improving MS patients’ understanding of treatment risks and benefits in clinical consultations: A randomised crossover trial. Multiple Sclerosis and Related Disorders. 49. 102737–102737. 2 indexed citations
10.
Langdon, Dawn, et al.. (2020). The Contribution of Perceived Memory and Information Processing Deficits on Multiple Sclerosis Cognitive Difficulties. 7(3). 1–8. 1 indexed citations
11.
Corfield, Freya & Dawn Langdon. (2018). A Systematic Review and Meta-Analysis of the Brief Cognitive Assessment for Multiple Sclerosis (BICAMS). Neurology and Therapy. 7(2). 287–306. 68 indexed citations
12.
Edwards, Lindsey, et al.. (2016). The contribution of short-term memory capacity to reading ability in adolescents with cochlear implants. International Journal of Pediatric Otorhinolaryngology. 90. 37–42. 11 indexed citations
13.
Edwards, Lindsey, et al.. (2012). The mathematical abilities of children with cochlear implants. Child Neuropsychology. 19(2). 127–142. 23 indexed citations
14.
Benedict, Ralph H. B., Maria Pia Amato, Jan Boringa, et al.. (2012). Brief International Cognitive Assessment for MS (BICAMS): international standards for validation. BMC Neurology. 12(1). 55–55. 308 indexed citations
15.
Langdon, Dawn, et al.. (2010). Constructing vignettes to investigate anger in multiple sclerosis. Nurse Researcher. 17(2). 60–73. 17 indexed citations
16.
Edwards, Lindsey, et al.. (2010). Verbal and Spatial Analogical Reasoning in Deaf and Hearing Children: The Role of Grammar and Vocabulary. The Journal of Deaf Studies and Deaf Education. 16(2). 189–197. 36 indexed citations
17.
Ebers, George C., et al.. (2006). The final results of the interferon beta-1b 16-year long-term follow-up study. Oxford University Research Archive (ORA) (University of Oxford). 2 indexed citations
18.
Langdon, Dawn, Noah J. Rosenblatt, & Jane Mellanby. (1998). Discrepancy poor verbal skills in poor readers: A failure of learning or ability?. British Journal of Psychology. 89(2). 177–190. 2 indexed citations
19.
Langdon, Dawn & Alan J. Thompson. (1996). Cognitive problems in multiple sclerosis. UCL Discovery (University College London). 5 indexed citations
20.
Langdon, Dawn & Elizabeth K. Warrington. (1995). Vespar : verbal and spatial reasoning test. 17 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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