Cherry Chu

1.2k citations
41 papers · 636 · 1 hit paper · h-index 13

Impact in

Papers in

Cherry Chu

38 papers receiving 631 citations

Cherry Chu's Hit Papers

Virtual care use before and during the COVID-19 pandemic: a repeated cross-sectional study 2021 · 166 citations
1660+1+3Years since publication50100150

Peers

Cherry Chu
Comparison fields: 5 of 98
  • General Health Professions 301
  • Public Health, Environmental and Occupational Health 288
  • Applied Psychology 29
  • Oncology 141
  • Economics and Econometrics 130
Replace Omolola E. Adepoju with:
Omolola E. Adepoju United States
Ji Eun Chang United States
Megan F. Pera United States
Rachel Denholm United Kingdom
Nancy Gagliano United States
Alek Sripipatana United States
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Eddie Donaghy United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Cherry Chu

Since Specialization
Citations

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

Fields of papers citing papers by Cherry Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Virtual care use before and during the COVID-19 pandemic: a repeated cross-sectional study
Hit paper breakdown →
2021166
2 2021107
3 202037
4 202233
5 201529
6 200327
7 202025
8 201421
9 202118
10 202118
11 202216
12 202215
13 202113
14 202112
15 202311
16 202211
17 202211
18 202210
19 20188
20 20226

About Cherry Chu

Cherry Chu is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Economics and Econometrics, Oncology and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 636 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (12 papers), COVID-19 and healthcare impacts (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Healthcare Policy and Management (5 papers), Healthcare cost, quality, practices (5 papers), Pharmaceutical industry and healthcare (4 papers), Pharmaceutical Economics and Policy (4 papers) and Geriatric Care and Nursing Homes (4 papers). The work is most often cited by research in General Health Professions (301 citations), Public Health, Environmental and Occupational Health (288 citations), Applied Psychology (29 citations), Oncology (141 citations) and Economics and Econometrics (130 citations). Cherry Chu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mina Tadrous, R. Sacha Bhatia, Vess Stamenova, Peter Cram, Andrea Pang, Meredith Manze, Nancy R. Kressin, Danielle Martin, Amresh Hanchate and Karen E. Lasser. Their work appears in journals such as PLoS ONE, CMAJ Open, Journal of Medical Internet Research, BMJ and JAMA Internal Medicine.

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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