Pamela Cheung

1.1k citations
9 papers · 808 indexed · 1 hit paper · h-index 8
Topics
COVID-19 epidemiological studies (2 papers)Viral Infections and Outbreaks Research (2 papers)Infection Control and Ventilation (2 papers)

In The Last Decade

Pamela Cheung

9 papers receiving 795 citations

Hit Papers

TRIM25 Enhances the Antiviral Action of Zinc-Finger Antiv...2017202620202023201750100150

Peers

Pamela Cheung
Comparison fields: 5 of 102
  • Pulmonary and Respiratory Medicine 351
  • Oncology 187
  • Modeling and Simulation 183
  • Infectious Diseases 175
  • Epidemiology 173
Replace Jennifer Zipprich with:
Jennifer Zipprich United States
Sulien Al Khalili Oman
Heui Man Kim South Korea
Aziz Mert Ipekci Switzerland
Sahar Saeed Canada
Sebastian Hoehl Germany
Justin A. Green United Kingdom
Ahmed R. Alsuwaidi United Arab Emirates
Vittoria Offeddu Singapore
Pamela Cheung relative to Jennifer Zipprich United States Jennifer Zipprich's profile →
Citations per field
00.5×3.6×
Jennifer Zipprich · 1×
Citations per year

Countries citing papers authored by Pamela Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Cheung. A scholar is included among the top collaborators of Pamela Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pamela Cheung. Pamela Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 22
3 48
4
TRIM25 Enhances the Antiviral Action of Zinc-Finger Antiviral Protein (ZAP)breakdown →
156
5 16
6 9
7 290
8 254
9 10

About Pamela Cheung

Pamela Cheung is a scholar working on Modeling and Simulation, Infectious Diseases and Virology, having authored 9 papers that have together received 808 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Viral Infections and Outbreaks Research (2 papers) and Infection Control and Ventilation (2 papers). The work is most often cited by research in Modeling and Simulation (183 citations), Pulmonary and Respiratory Medicine (351 citations) and Infectious Diseases (175 citations). Pamela Cheung has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Neil M. Ferguson, Gary Browne, Zhanhai Gao, James Wood, Dominic E. Dwyer, C. Raina MacIntyre, Simon Cauchemez, Holly Seale, Michael Fasher and Robert Booy. Their work appears in journals such as Oncogene, Emerging infectious diseases and PLoS Pathogens.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026