M Dalton

1.5k citations
14 papers · 1.1k · 2 hit papers · h-index 10

Impact in

  • Neurology top 2%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

M Dalton

14 papers receiving 1k citations

M Dalton's Hit Papers

Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study 2022 · 310 citations
3100+1+3Years since publication100200300400500

Peers

M Dalton
Comparison fields: 5 of 72
  • Neurology 726
  • Infectious Diseases 210
  • Critical Care and Intensive Care Medicine 15
  • Geriatrics and Gerontology 6
  • Physical Therapy, Sports Therapy and Rehabilitation 9
Replace Alister Humphries with:
Alister Humphries United Kingdom
M Hoare United Kingdom
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M Harvey United Kingdom
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M Dalton relative to Alister Humphries United Kingdom Alister Humphries's profile →
Citations per field
00.5×1.5×
Alister Humphries · 1×
Citations per year

Countries citing papers authored by M Dalton

Since Specialization
Citations

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

Fields of papers citing papers by M Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

14 of 14 papers shown
#Work
1
Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study
Hit paper breakdown →
2021504
2
Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study
Hit paper breakdown →
2022310
3 202287
4 202325
5 202424
6 202322
7 202317
8 202417
9 202316
10 202313
11 20238
12 20246
13 20255
14 20252

About M Dalton

M Dalton is a scholar working on Neurology, Infectious Diseases, Geriatrics and Gerontology, Experimental and Cognitive Psychology and Immunology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sleep and related disorders (1 paper), Immune responses and vaccinations (1 paper), Kawasaki Disease and Coronary Complications (1 paper) and Frailty in Older Adults (1 paper). The work is most often cited by research in Neurology (726 citations), Infectious Diseases (210 citations), Critical Care and Intensive Care Medicine (15 citations), Geriatrics and Gerontology (6 citations) and Physical Therapy, Sports Therapy and Rehabilitation (9 citations). M Dalton has collaborated with scholars based in United Kingdom. Their work appears in journals such as The Lancet Respiratory Medicine, EClinicalMedicine, The Lancet Regional Health - Europe, Nature Communications and International Journal of Epidemiology.

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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