Anna Chu

85 papers receiving 2.1k citations

Anna Chu's Hit Papers

Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis 2017 · 276 citations
2760+3+6Years since publication50100150200250

Peers

Anna Chu
Comparison fields: 5 of 112
  • Nutrition and Dietetics 225
  • Transportation 104
  • Surgery 434
  • Public Health, Environmental and Occupational Health 340
  • Nephrology 89
Replace Anne Helms Andreasen with:
Anne Helms Andreasen Denmark
H A Tyroler United States
Jane Jaeyon Lee United States
Rossana Borchini Italy
Anne Karen Jenum Norway
Emily D. Parker United States
Michele D. Nichols United States
Pramila Rai Nepal
Baurzhan Zhussupov Kazakhstan
Harish Ranjani India
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Citations per year

Countries citing papers authored by Anna Chu

Since Specialization
Citations

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

Fields of papers citing papers by Anna Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis
Hit paper breakdown →
2017276
2 2015157
3 2015109
4 201990
5 201388
6 201087
7 201987
8 202083
9 201673
10 201966
11 201859
12 201555
13 201550
14 201345
15 201744
16 201543
17 202341
18 201636
19 201433
20 201931

About Anna Chu

Anna Chu is a scholar working on Nutrition and Dietetics, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and General Health Professions, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Trace Elements in Health (14 papers), Health Promotion and Cardiovascular Prevention (10 papers), Lipoproteins and Cardiovascular Health (9 papers), Heart Failure Treatment and Management (7 papers), Cardiovascular Health and Risk Factors (6 papers), COVID-19 Clinical Research Studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Nutrition and Dietetics (225 citations), Transportation (104 citations), Surgery (434 citations), Public Health, Environmental and Occupational Health (340 citations) and Nephrology (89 citations). Anna Chu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jack V. Tu, Samir Samman, Meika J. Foster, Peter Petocz, Leo E. Akioyamen, Shubham Shan, Gillian L. Booth, Dennis T. Ko, Jordan M. Albaum and Peter C. Austin. Their work appears in journals such as Journal of the American Heart Association, Canadian Journal of Cardiology, Canadian Medical Association Journal, BMJ Open and CMAJ Open.

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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