Hannah Chung

3.7k citations
53 papers · 1.7k indexed · 3 hit papers · h-index 14

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Health top 2%
    • Vaccine Coverage and Hesitancy

Papers in

Hannah Chung

47 papers receiving 1.6k citations

Hit Papers

Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario 2022 · 170 citations
1702018202620202023250500750

Peers

Hannah Chung
Comparison fields: 5 of 110
  • Infectious Diseases 825
  • Health 259
  • Modeling and Simulation 119
  • Epidemiology 685
  • Hepatology 106
Replace Doron Netzer with:
Doron Netzer Israel
Farah Yasmin Pakistan
Stan Xu United States
Abu Baker Sheikh United States
Joshua T.B. Williams United States
Muhammad Sohaib Asghar Pakistan
Yatir Ben‐Shlomo Israel
Kristin Goddard United States
Rahul Shekhar United States
David Richardson Canada
Hannah Chung relative to Doron Netzer Israel Doron Netzer's profile →
Citations per field
00.5×10×20×33×
Doron Netzer · 1×
Citations per year

Countries citing papers authored by Hannah Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hannah Chung, 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 Hannah Chung Line = papers co-authored together Hannah Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20238
4
Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario
Hit paper breakdown →
2022170
5 202225
6 20220
7 202211
8 202210
9 20215
10 20217
11 20210
12 20214
13 202018
14 202020
15 201924
16 20191
17 20196
18
Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection
Hit paper breakdown →
2018773
19 201726
20 20177

About Hannah Chung

Hannah Chung is a scholar working on Speech and Hearing, Health, Infectious Diseases, Epidemiology and Hepatology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (9 papers), Vaccine Coverage and Hesitancy (8 papers), Adolescent and Pediatric Healthcare (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (5 papers), Hepatitis B Virus Studies (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (825 citations), Health (259 citations), Modeling and Simulation (119 citations), Epidemiology (685 citations) and Hepatology (106 citations). Hannah Chung has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jeffrey C. Kwong, Kevin L. Schwartz, Jonathan B. Gubbay, Michael A. Campitelli, Natasha S. Crowcroft, Laura C. Rosella, Allison McGeer, Marek Smieja, George Zahariadis and David Richardson. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, JAMA Network Open, Vaccine and The Journal of Infectious Diseases.

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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2026