Daniel Pan
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 8
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 and COVID-19 Research 6
- Tuberculosis Research and Epidemiology 5
- Health top 5%
- Vaccine Coverage and Hesitancy 5
- Clinical Psychology top 5%
- COVID-19 and Mental Health 9
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- COVID-19 and healthcare impacts 11
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- Infection Control and Ventilation 8
- Co-authors
- Manish PareekShirley SzeLaura B NellumsJatinder S. MinhasKamlesh KhuntiPip DivallChristopher MartinLaura J. Gray
- Journals
- EClinicalMedicine (11 papers)Journal of Infection (3 papers)Clinical Research in Cardiology (2 papers)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Daniel Pan
59 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Modeling and Simulation 210
- Infectious Diseases 552
- Health 217
- Clinical Psychology 325
- Critical Care and Intensive Care Medicine 65
Countries citing papers authored by Daniel Pan
This map shows the geographic impact of Daniel Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pan more than expected).
Fields of papers citing papers by Daniel Pan
This network shows the impact of papers produced by Daniel Pan. 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 Pan. The network helps show where Daniel Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Pan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 46 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 0 | |
| 17 | 2019 | 7 | |
| 18 | 2018 | 61 | |
| 19 | 2017 | 18 | |
| 20 | 2017 | 22 |
About Daniel Pan
Daniel Pan is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), COVID-19 and healthcare impacts (11 papers), COVID-19 and Mental Health (9 papers), Infection Control and Ventilation (8 papers), COVID-19 epidemiological studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Vaccine Coverage and Hesitancy (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Modeling and Simulation (210 citations), Infectious Diseases (552 citations) and Health (217 citations). Daniel Pan has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Manish Pareek, Shirley Sze, Laura B Nellums, Jatinder S. Minhas, Kamlesh Khunti, Pip Divall, Christopher Martin, Laura J. Gray, Joshua Nazareth and Clareece R. Nevill. Their work appears in journals such as EClinicalMedicine, Journal of Infection, Clinical Research in Cardiology, Postgraduate Medical Journal and Journal of Medical Virology.
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.