Daniel Ayoubkhani

5.2k citations
36 papers · 1.7k · 3 hit papers · h-index 17

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

Daniel Ayoubkhani

34 papers receiving 1.6k citations

Daniel Ayoubkhani's Hit Papers

Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study 2022 · 243 citations
2430+1+3Years since publication100200300400

Peers

Daniel Ayoubkhani
Comparison fields: 5 of 112
  • Neurology 627
  • Infectious Diseases 459
  • Critical Care and Intensive Care Medicine 101
  • Health 114
  • Modeling and Simulation 65
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Countries citing papers authored by Daniel Ayoubkhani

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ayoubkhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Ayoubkhani, 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 Daniel Ayoubkhani Line = papers co-authored together Daniel Ayoubkhani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Post-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study
Hit paper breakdown →
2021479
2
Trajectory of long covid symptoms after covid-19 vaccination: community based cohort study
Hit paper breakdown →
2022243
3
Risk of Long COVID in People Infected With Severe Acute Respiratory Syndrome Coronavirus 2 After 2 Doses of a Coronavirus Disease 2019 Vaccine: Community-Based, Matched Cohort Study
Hit paper breakdown →
2022119
4 2022100
5 201991
6 202174
7 202163
8 201963
9 201956
10 202153
11 202142
12 201842
13 202141
14 202040
15 202326
16 202120
17 202217
18 202215
19 202414
20 201312

About Daniel Ayoubkhani

Daniel Ayoubkhani is a scholar working on Neurology, Cardiology and Cardiovascular Medicine, Health, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), Potassium and Related Disorders (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Heart Failure Treatment and Management (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Vaccine Coverage and Hesitancy (2 papers), Membrane-based Ion Separation Techniques (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Neurology (627 citations), Infectious Diseases (459 citations), Critical Care and Intensive Care Medicine (101 citations), Health (114 citations) and Modeling and Simulation (65 citations). Daniel Ayoubkhani has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Vahé Nafilyan, Kamlesh Khunti, Amitava Banerjee, Ben Humberstone, Ian Diamond, Thomas W. Maddox, Myer Glickman, Koen B. Pouwels, Nisreen A Alwan and Francesco Zaccardi. Their work appears in journals such as BMJ, The Lancet Public Health, Journal of the Royal Society of Medicine, International Journal of Epidemiology and European Journal of Public Health.

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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