Daniel Pan
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
- Tuberculosis Research and Epidemiology 4
-
- Infection Control and Ventilation 4
- Co-authors
- Manish Pareek (38 shared papers)Shirley Sze (25 shared papers)Laura B Nellums (19 shared papers)Jatinder S. Minhas (8 shared papers)Kamlesh Khunti (9 shared papers)Pip Divall (9 shared papers)Christopher Martin (16 shared papers)Joshua Nazareth (21 shared papers)
- Journals
- EClinicalMedicine (11 papers)Journal of Infection (3 papers)Clinical Research in Cardiology (2 papers)The Lancet (2 papers)Postgraduate Medical Journal (2 papers)
- Partner nations
- United KingdomHong KongUnited States
In The Last Decade
Daniel Pan
60 papers receiving 1.6k citations
Daniel Pan's Hit Papers
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 133
- Infectious Diseases 388
- Health 138
- Virology 54
- Clinical Psychology 189
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-authors
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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ethnicity and clinical outcomes in COVID-19: A systematic review and meta-analysis Hit paper breakdown → | 2020 | 406 |
| 2 | The impact of ethnicity on clinical outcomes in COVID-19: A systematic review Hit paper breakdown → | 2020 | 380 |
| 3 | 2020 | 104 | |
| 4 | 2020 | 79 | |
| 5 | 2018 | 63 | |
| 6 | 2023 | 56 | |
| 7 | 2023 | 54 | |
| 8 | 2020 | 51 | |
| 9 | 2020 | 46 | |
| 10 | 2021 | 31 | |
| 11 | 2022 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2017 | 19 | |
| 14 | 2022 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2018 | 11 |
About Daniel Pan
Daniel Pan is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Clinical Psychology, Oncology and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), COVID-19 and healthcare impacts (6 papers), COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Infection Control and Ventilation (4 papers), COVID-19 and Mental Health (4 papers), Vaccine Coverage and Hesitancy (4 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (133 citations), Infectious Diseases (388 citations), Health (138 citations), Virology (54 citations) and Clinical Psychology (189 citations). Daniel Pan has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Manish Pareek, Shirley Sze, Laura B Nellums, Jatinder S. Minhas, Kamlesh Khunti, Pip Divall, Christopher Martin, Joshua Nazareth, Laura J. Gray and Clareece R. Nevill. Their work appears in journals such as EClinicalMedicine, Journal of Infection, Clinical Research in Cardiology, The Lancet and Postgraduate Medical Journal.
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.