Amy Cheng

20 papers receiving 391 citations

Peers

Amy Cheng
Comparison fields: 5 of 113
  • Emergency Medicine 74
  • Family Practice 14
  • Applied Psychology 28
  • General Health Professions 120
  • Sensory Systems 19
Replace Catherine Bailey with:
Catherine Bailey United Kingdom
Kelly Peterson United States
Emad Salawati Saudi Arabia
Karine Morin United States
Petra Povalej Slovenia
J Kaczmarczyk United States
Carolyn Seymore Ashworth United States
Jihye Lee South Korea
Robert Enberg United States
Anne Weissenstein Germany
Amy Cheng relative to Catherine Bailey United Kingdom Catherine Bailey's profile →
Citations per field
00.5×5.7×
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Citations per year

Countries citing papers authored by Amy Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Amy Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201373
2 201865
3 201253
4 201742
5 201725
6 201722
7 201220
8 201318
9 201314
10 201813
11 201712
12 201610
13
Ethnicity and health literacy: a survey on hypertension knowledge among Canadian ethnic populations.
20149
14 20166
15 20215
16 20204
17 20113
18 20192
19 20182
20 20161

About Amy Cheng

Amy Cheng is a scholar working on General Health Professions, Emergency Medicine, Health Information Management, Endocrinology, Diabetes and Metabolism and Emergency Medical Services, having authored 20 papers that have together received 399 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (8 papers), Healthcare Systems and Technology (3 papers), Patient Safety and Medication Errors (3 papers), Medical Malpractice and Liability Issues (2 papers), Patient-Provider Communication in Healthcare (2 papers), Health Literacy and Information Accessibility (2 papers), Diabetes Management and Education (2 papers) and Healthcare Quality and Management (2 papers). The work is most often cited by research in Emergency Medicine (74 citations), Family Practice (14 citations), Applied Psychology (28 citations), General Health Professions (120 citations) and Sensory Systems (19 citations). Amy Cheng has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Samuel Vaillancourt, Lucas B. Chartier, Antonia Stang, Yi Shang, Anna Andreeva, Conor W. Sipe, Lixia Liu, Xiaowei Lu, Jason M. Sutherland and Michael J. Schull. Their work appears in journals such as Canadian Journal of Emergency Medicine, Journal of Emergency Medicine, BMJ Open, Current Biology and Global Health Action.

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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