Daniel Pan

5.8k citations
67 papers · 1.5k · 2 hit papers · h-index 14

Impact in

Papers in

Daniel Pan

59 papers receiving 1.5k citations

Daniel Pan's Hit Papers

Ethnicity and clinical outcomes in COVID-19: A systematic review and meta-analysis 2020 · 396 citations
3960+2+4Years since publication100200300

Peers

Daniel Pan
Comparison fields: 5 of 123
  • Modeling and Simulation 210
  • Infectious Diseases 552
  • Health 217
  • Clinical Psychology 325
  • Critical Care and Intensive Care Medicine 65
Replace Shirley Sze with:
Shirley Sze United Kingdom
Muhammad Sohaib Asghar Pakistan
Yousef Alimohamadi Iran
Jonathan Fuld United Kingdom
Alireza Mirahmadizadeh Iran
Guillaume Favre Switzerland
Kathleen M. Akgün United States
Farah Yasmin Pakistan
Léo Pomar Switzerland
Katherine Roguski United States
Daniel Pan relative to Shirley Sze United Kingdom Shirley Sze's profile →
Citations per field
00.5×1.5×2.3×
Shirley Sze · 1×
Citations per year

Countries citing papers authored by Daniel Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Pan Line = papers co-authored together Daniel Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 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 →
2020396
2
The impact of ethnicity on clinical outcomes in COVID-19: A systematic review
Hit paper breakdown →
2020368
3 2020102
4 202076
5 201861
6 202051
7 202349
8 202346
9 202044
10 202130
11 201722
12 202221
13 201718
14 202114
15 202013
16 202012
17 202212
18 202212
19 201811
20 202410

About Daniel Pan

Daniel Pan is a scholar working on Infectious Diseases, Clinical Psychology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, 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), Health (217 citations), Clinical Psychology (325 citations) and Critical Care and Intensive Care Medicine (65 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, Kamlesh Khunti, Jatinder S. Minhas, 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, 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.

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