Daniel Ayoubkhani
Impact in
- Neurology top 2%
- Long-Term Effects of COVID-19
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 epidemiological studies 4
- Health 7
- Health disparities and outcomes 4
- Co-authors
- Vahé NafilyanKamlesh KhuntiAmitava BanerjeeIan DiamondBen HumberstoneThomas W. MaddoxMyer GlickmanKoen B. Pouwels
- Journals
- BMJ (3 papers)The Lancet Public Health (2 papers)European Journal of Public Health (2 papers)Open Forum Infectious Diseases (2 papers)Journal of the Royal Society of Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Daniel Ayoubkhani
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Neurology 735
- Infectious Diseases 696
- Critical Care and Intensive Care Medicine 179
- Modeling and Simulation 126
- Health 168
Countries citing papers authored by Daniel Ayoubkhani
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 96 | |
| 11 | 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 → | 2022 | 112 |
| 12 | 2021 | 19 | |
| 13 | 2021 | 62 | |
| 14 | 2021 | 41 | |
| 15 | 2021 | 53 | |
| 16 | 2021 | 72 | |
| 17 | 2020 | 40 | |
| 18 | 2019 | 90 | |
| 19 | 2019 | 53 | |
| 20 | 2018 | 1 |
About Daniel Ayoubkhani
Daniel Ayoubkhani is a scholar working on Modeling and Simulation, Health, Tourism, Leisure and Hospitality Management, Neurology and Infectious Diseases, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Long-Term Effects of COVID-19 (9 papers), COVID-19 and healthcare impacts (7 papers), COVID-19 epidemiological studies (4 papers), Employment and Welfare Studies (4 papers), Health disparities and outcomes (4 papers), COVID-19 and Mental Health (4 papers) and Potassium and Related Disorders (4 papers). The work is most often cited by research in Neurology (735 citations), Infectious Diseases (696 citations), Critical Care and Intensive Care Medicine (179 citations), Modeling and Simulation (126 citations) and Health (168 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, Ian Diamond, Ben Humberstone, 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, European Journal of Public Health, Open Forum Infectious Diseases and Journal of the Royal Society of Medicine.
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.