Anna Chu

84 papers receiving 1.9k citations

Anna Chu's Hit Papers

Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis 2017 · 241 citations
2410+3+6Years since publication50100150200

Peers

Anna Chu
Comparison fields: 5 of 132
  • Nutrition and Dietetics 245
  • Health, Toxicology and Mutagenesis 182
  • Transportation 87
  • Nephrology 66
  • Surgery 332
Replace David S. Siscovick with:
David S. Siscovick United States
Jacqueline M. Major United States
Keri L. Monda United States
Jing Wu China
Hye Ah Lee South Korea
Jeanine M. Genkinger United States
Kristine R. Monroe United States
Ying Yang China
Simon Thornley New Zealand
Margareta Norberg Sweden
Anna Chu relative to David S. Siscovick United States David S. Siscovick's profile →
Citations per field
00.5×3.4×
David S. Siscovick · 1×
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 93 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 →
2017241
2 201596
3 201387
4 201084
5 201982
6 201981
7 202073
8 201671
9 201962
10 201552
11 201849
12 201546
13 201346
14 201541
15 202336
16 201736
17 201632
18 201432
19 201031
20 201730

About Anna Chu

Anna Chu is a scholar working on Nutrition and Dietetics, Surgery, Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Epidemiology, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include Trace Elements in Health (15 papers), Lipoproteins and Cardiovascular Health (10 papers), Iron Metabolism and Disorders (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Cardiac Imaging and Diagnostics (4 papers), Heart Failure Treatment and Management (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Data-Driven Disease Surveillance (3 papers). The work is most often cited by research in Nutrition and Dietetics (245 citations), Health, Toxicology and Mutagenesis (182 citations), Transportation (87 citations), Nephrology (66 citations) and Surgery (332 citations). Anna Chu has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Jack V. Tu, Samir Samman, Peter Petocz, Meika Foster, Leo E. Akioyamen, Jacques Genest, Shubham Shan, Gillian L. Booth, Dennis T. Ko and J. M. Albaum. 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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