Paula Chu

16 papers receiving 543 citations

Peers

Paula Chu
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 41
  • Clinical Psychology 95
  • Hematology 44
  • Genetics 39
  • Family Practice 5
Replace Jacqueline Galica with:
Jacqueline Galica Canada
Jackie Gracey United Kingdom
Gunnar Nordahl Sweden
L.J. Vatten Norway
Niklas Bergvall Switzerland
Chetachi A. Emeremni United States
Mary M. Hunter United States
Timothy W. Victor United States
Yolande Saunders United Kingdom
Paula Chu relative to Jacqueline Galica Canada Jacqueline Galica's profile →
Citations per field
00.5×2×4×5.9×
Jacqueline Galica · 1×
Citations per year

Countries citing papers authored by Paula Chu

Since Specialization
Citations

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

Fields of papers citing papers by Paula Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014180
2 2014107
3 200955
4 200948
5 201647
6 200830
7 201926
8 201820
9 202013
10 202012
11
Cost-effectiveness of intensive lipid lowering therapy with 80 mg of atorvastatin, versus 10 mg of atorvastatin, for secondary prevention of cardiovascular disease in Canada.
200912
12 200811
13 201910
14 20243
15 20242
16 20172
17 20240

About Paula Chu

Paula Chu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Physical Therapy, Sports Therapy and Rehabilitation, Surgery and Obstetrics and Gynecology, having authored 17 papers that have together received 578 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Hemophilia Treatment and Research (1 paper), Mindfulness and Compassion Interventions (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Inhalation and Respiratory Drug Delivery (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Obstetrics and Gynecology (41 citations), Clinical Psychology (95 citations), Hematology (44 citations), Genetics (39 citations) and Family Practice (5 citations). Paula Chu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Sue J. Goldie, M. G. Myriam Hunink, Gloria Y. Yeh, Rinske A. Gotink, Sengwee Toh, Laura Faden Garabedian, Alan M. Zaslavsky, Stephen B. Soumerai, Ankur Pandya and David R. Thompson. Their work appears in journals such as Value in Health, Health Technology Assessment, Clinical Lung Cancer, Journal of Medical Economics and European Journal of Preventive Cardiology.

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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