H Tedd

1.6k citations
14 papers · 1.1k · 3 hit papers · h-index 11

Impact in

  • Neurology top 1%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

H Tedd

14 papers receiving 1.1k citations

H Tedd's Hit Papers

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease 2024 · 65 citations
650+1+3Years since publication100200300400500

Peers

H Tedd
Comparison fields: 5 of 75
  • Neurology 815
  • Infectious Diseases 207
  • Critical Care and Intensive Care Medicine 15
  • Pulmonary and Respiratory Medicine 61
  • Geriatrics and Gerontology 6
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Citations per field
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Citations per year

Countries citing papers authored by H Tedd

Since Specialization
Citations

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

Fields of papers citing papers by H Tedd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside H Tedd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H Tedd Line = papers co-authored together H Tedd links everyone, so they are left out of the graph.

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
Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Hit paper breakdown →
202465
5 201141
6 202335
7 202322
8 202317
9 202417
10 202316
11 202313
12 20239
13 20238
14 20171

About H Tedd

H Tedd is a scholar working on Neurology, Infectious Diseases, Geriatrics and Gerontology, Pathology and Forensic Medicine and Experimental and Cognitive Psychology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (10 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sleep and related disorders (1 paper), Cystic Fibrosis Research Advances (1 paper), Vitamin D Research Studies (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 (815 citations), Infectious Diseases (207 citations), Critical Care and Intensive Care Medicine (15 citations), Pulmonary and Respiratory Medicine (61 citations) and Geriatrics and Gerontology (6 citations). H Tedd has collaborated with scholars based in United Kingdom. Frequent co-authors include Katy L. M. Hester, Anthony De Soyza, Julia L. Newton, Paul McAlinden, Hannah R. Jary, Therese Small and Alex J. Mitchell. Their work appears in journals such as The Lancet Respiratory Medicine, EClinicalMedicine, The Lancet Regional Health - Europe, QJM 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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