A Te

2.1k citations
13 papers · 1.6k · 3 hit papers · h-index 11

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

A Te

13 papers receiving 1.5k citations

A Te'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

A Te
Comparison fields: 5 of 88
  • Neurology 732
  • Infectious Diseases 502
  • Applied Microbiology and Biotechnology 33
  • Nephrology 125
  • Critical Care and Intensive Care Medicine 16
Replace Claire Singh with:
Claire Singh United Kingdom
Darwin Matila United Kingdom
Christina Summersgill United Kingdom
Georgia Mallison United Kingdom
Nick Magee United Kingdom
Lesley Gilmour United Kingdom
Ombretta Para Italy
Kathrine Birchall United Kingdom
Eva Fraile United Kingdom
Mayla Gabriela Silva Borba Brazil
A Te relative to Claire Singh United Kingdom Claire Singh's profile →
Citations per field
00.5×5×10×15×20.8×
Claire Singh · 1×
Citations per year

Countries citing papers authored by A Te

Since Specialization
Citations

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

Fields of papers citing papers by A Te

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

13 of 13 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
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021411
3
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
4 202287
5 202379
6 202366
7 202322
8 202317
9 202417
10 202316
11 202313
12 20239
13 20238

About A Te

A Te is a scholar working on Neurology, Infectious Diseases, Nephrology, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (8 papers), COVID-19 Clinical Research Studies (4 papers), Chronic Kidney Disease and Diabetes (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sleep and related disorders (1 paper), Diabetes Treatment and Management (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 (732 citations), Infectious Diseases (502 citations), Applied Microbiology and Biotechnology (33 citations), Nephrology (125 citations) and Critical Care and Intensive Care Medicine (16 citations). A Te has collaborated with scholars based in United Kingdom. Their work appears in journals such as The Lancet Respiratory Medicine, The Lancet Diabetes & Endocrinology, The Lancet, EClinicalMedicine and The Lancet Regional Health - Europe.

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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