E Daynes

1.4k citations
11 papers · 1k · 2 hit papers · h-index 9

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

E Daynes

11 papers receiving 1k citations

E Daynes'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

E Daynes
Comparison fields: 5 of 72
  • Neurology 760
  • Infectious Diseases 199
  • Critical Care and Intensive Care Medicine 15
  • Geriatrics and Gerontology 6
  • Physical Therapy, Sports Therapy and Rehabilitation 9
Replace Z Suleiman with:
Z Suleiman United Kingdom
R Samuel United Kingdom
T Thompson United Kingdom
M Bakali United Kingdom
S Drain United Kingdom
Lianne Wright United Kingdom
T Kabir United Kingdom
G Simons United Kingdom
D Johnston United Kingdom
P M George United Kingdom
E Daynes relative to Z Suleiman United Kingdom Z Suleiman's profile →
Citations per field
00.5×1.5×
Z Suleiman · 1×
Citations per year

Countries citing papers authored by E Daynes

Since Specialization
Citations

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

Fields of papers citing papers by E Daynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

11 of 11 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 202335
5 202322
6 202317
7 202417
8 202316
9 202313
10 20239
11 20238

About E Daynes

E Daynes is a scholar working on Neurology, Infectious Diseases, Geriatrics and Gerontology, Experimental and Cognitive Psychology and Immunology, having authored 11 papers that have together received 1k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (9 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sleep and related disorders (1 paper), Immune responses and vaccinations (1 paper) and Frailty in Older Adults (1 paper). The work is most often cited by research in Neurology (760 citations), Infectious Diseases (199 citations), Critical Care and Intensive Care Medicine (15 citations), Geriatrics and Gerontology (6 citations) and Physical Therapy, Sports Therapy and Rehabilitation (9 citations). E Daynes has collaborated with scholars based in United Kingdom. Their work appears in journals such as The Lancet Respiratory Medicine, EBioMedicine, The Lancet Regional Health - Europe, EClinicalMedicine 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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