Guy Peryer

1.4k total citations
40 papers, 803 citations indexed

About

Guy Peryer is a scholar working on General Health Professions, Psychiatry and Mental health and Pathology and Forensic Medicine. According to data from OpenAlex, Guy Peryer has authored 40 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 10 papers in Psychiatry and Mental health and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Guy Peryer's work include Multiple Sclerosis Research Studies (7 papers), Geriatric Care and Nursing Homes (7 papers) and Dementia and Cognitive Impairment Research (5 papers). Guy Peryer is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), Geriatric Care and Nursing Homes (7 papers) and Dementia and Cognitive Impairment Research (5 papers). Guy Peryer collaborates with scholars based in United Kingdom, United States and Italy. Guy Peryer's co-authors include Corinna Hackmann, D. Vernon, Toby O. Smith, Chris Fox, Jane Cross, Andrew Cooper, R. Griffiths, Caitlin Notley, Amorette Perkins and Lisa Irvine and has published in prestigious journals such as PLoS ONE, Neurology and Cochrane Database of Systematic Reviews.

In The Last Decade

Guy Peryer

37 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy Peryer United Kingdom 16 167 166 164 153 121 40 803
Alessandra di Cagno Italy 24 93 0.6× 118 0.7× 69 0.4× 148 1.0× 94 0.8× 76 1.4k
Giovanni Fiorilli Italy 19 76 0.5× 116 0.7× 66 0.4× 122 0.8× 83 0.7× 60 1.0k
Anthony H. Lequerica United States 19 152 0.9× 119 0.7× 123 0.8× 64 0.4× 202 1.7× 82 1.2k
Justyna Mazurek Poland 14 65 0.4× 99 0.6× 145 0.9× 79 0.5× 153 1.3× 55 779
Anne‐Kristine Schanke Norway 23 180 1.1× 250 1.5× 67 0.4× 76 0.5× 399 3.3× 48 1.8k
Joanna Kowalska Poland 15 229 1.4× 104 0.6× 97 0.6× 58 0.4× 144 1.2× 50 709
Karen E. Weiss United States 22 202 1.2× 264 1.6× 142 0.9× 164 1.1× 161 1.3× 36 1.5k
Alexandra Murray United Kingdom 17 219 1.3× 168 1.0× 101 0.6× 120 0.8× 295 2.4× 48 1.1k
Nicole T. M. Hill Australia 15 129 0.8× 602 3.6× 190 1.2× 217 1.4× 367 3.0× 33 1.4k
Therese M. O’Neil-Pirozzi United States 27 240 1.4× 173 1.0× 143 0.9× 63 0.4× 231 1.9× 91 1.9k

Countries citing papers authored by Guy Peryer

Since Specialization
Citations

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

Fields of papers citing papers by Guy Peryer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Peryer

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Peryer. A scholar is included among the top collaborators of Guy Peryer 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 Guy Peryer. Guy Peryer 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.
Helme, Anne, Dipak Kalra, Giampaolo Brichetto, et al.. (2025). Artificial intelligence and science of patient input: a perspective from people with multiple sclerosis. Frontiers in Immunology. 16. 1487709–1487709. 3 indexed citations
2.
3.
Ridley, Ben, Silvia Minozzi, Marien González‐Lorenzo, et al.. (2024). Immunomodulators and immunosuppressants for progressive multiple sclerosis: a network meta-analysis. Cochrane Database of Systematic Reviews. 2025(1). CD015443–CD015443. 3 indexed citations
4.
Gray, Emma, Susan C. Scott, Guy Peryer, et al.. (2023). Enhancing involvement of people with multiple sclerosis in clinical trial design. Multiple Sclerosis Journal. 29(9). 1162–1173. 8 indexed citations
5.
Kelly, Sarah, Andy Cowan, Gizdem Akdur, et al.. (2023). Outcome measures from international older adult care home intervention research: a scoping review. Age and Ageing. 52(5). 9 indexed citations
6.
Burton, Jennifer Kirsty, Arne Wolters, Ann‐Marie Towers, et al.. (2022). . Newcastle University ePrints (Newcastle Univesity). 29 indexed citations
7.
Nonino, Francesco, Massimiliano Orso, Ben Ridley, et al.. (2022). Identifying unanswered questions and setting the agenda for future systematic research in Multiple Sclerosis. A worldwide, multi-stakeholder Priority Setting project. Multiple Sclerosis and Related Disorders. 60. 103688–103688. 4 indexed citations
8.
Li, Vivien, Baptiste Leurent, Frederik Barkhof, et al.. (2022). Designing Multi-arm Multistage Adaptive Trials for Neuroprotection in Progressive Multiple Sclerosis. Neurology. 98(18). 754–764. 12 indexed citations
9.
Goodman, Claire, Guy Peryer, Sarah Kelly, et al.. (2022). Contextual factors influencing complex intervention research processes in care homes: a systematic review and framework synthesis. University of Hertfordshire Research Archive (University of Hertfordshire). 38 indexed citations
10.
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
11.
12.
Akdur, Gizdem, Barbara Hanratty, Sarah Kelly, et al.. (2020). Uptake and use of a minimum data set (MDS) for older people living and dying in care homes in England: a realist review protocol. BMJ Open. 10(11). e040397–e040397. 15 indexed citations
13.
Agostino, Patricia V., Nicholas A. Lusk, Warren H. Meck, Diego A. Golombék, & Guy Peryer. (2020). Daily and seasonal fluctuation in Tawny Owl vocalization timing. PLoS ONE. 15(4). e0231591–e0231591. 6 indexed citations
14.
Peryer, Guy, et al.. (2020). Supportive and palliative care for people with respiratory problems and preexisting serious mental illness. Current Opinion in Supportive and Palliative Care. 14(3). 190–196. 1 indexed citations
15.
Golder, Su, Guy Peryer, & Yoon K. Loke. (2019). Overview: comprehensive and carefully constructed strategies are required when conducting searches for adverse effects data. Journal of Clinical Epidemiology. 113. 36–43. 7 indexed citations
16.
Smith, Toby O., et al.. (2018). Orientation and verbal fluency in the English Longitudinal Study of Ageing: modifiable risk factors for falls?. International Psychogeriatrics. 31(10). 1491–1498. 10 indexed citations
17.
Perkins, Amorette, et al.. (2016). Perspectives and experiences of the process of mental health diagnosis: a systematic review:Protocol. UEA Digital Repository (University of East Anglia).
18.
Sackley, Catherine, Marion Walker, Christopher R Burton, et al.. (2015). An occupational therapy intervention for residents with stroke related disabilities in UK care homes (OTCH): cluster randomised controlled trial. BMJ. 350(feb05 23). h468–h468. 40 indexed citations
19.
Vernon, D., et al.. (2012). Tracking EEG changes in response to alpha and beta binaural beats. International Journal of Psychophysiology. 93(1). 134–139. 70 indexed citations
20.
Williamson, Victoria J., Fang Liu, Guy Peryer, Mick Grierson, & Lauren Stewart. (2011). Perception and action de-coupling in congenital amusia: Sensitivity to task demands. Neuropsychologia. 50(1). 172–180. 26 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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