Simon Tang

29 papers receiving 1.0k citations

Peers

Simon Tang
Comparison fields: 5 of 87
  • Family Practice 292
  • Geriatrics and Gerontology 123
  • Cardiology and Cardiovascular Medicine 294
  • Endocrinology, Diabetes and Metabolism 128
  • Economics and Econometrics 144
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Citations per field
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Citations per year

Countries citing papers authored by Simon Tang

Since Specialization
Citations

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

Fields of papers citing papers by Simon Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006164
2 2006131
3 2008105
4 200893
5 200982
6 200873
7
Adherence with single-pill amlodipine/atorvastatin vs a two-pill regimen.
200860
8
Cardiovascular disease costs associated with uncontrolled hypertension.
200244
9
Medicaid prescription drug access restrictions: exploring the effect on patient persistence with hypertension medications.
200537
10 200832
11 201031
12 200925
13 200820
14
Adherence with single-pill amlodipine/atorvastatin vs a two-pill regimen
200819
15 200718
16 202017
17 200717
18
Effect of patient comorbidities on filling of antihypertensive prescriptions.
200917
19 200714
20 201114

About Simon Tang

Simon Tang is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice, Geriatrics and Gerontology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (13 papers), Medication Adherence and Compliance (10 papers), Pharmaceutical Practices and Patient Outcomes (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Pharmaceutical Economics and Policy (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Family Practice (292 citations), Geriatrics and Gerontology (123 citations), Cardiology and Cardiovascular Medicine (294 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Economics and Econometrics (144 citations). Simon Tang has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Joshua S. Benner, J. Sanford Schwartz, Nathan D. Wong, Richard H. Chapman, Víctor A. López, Allison Petrilla, G. Rhys Williams, Barbara J. Turner, Michael B. Nichol and Christopher S. Hollenbeak. Their work appears in journals such as Annals of Internal Medicine, American Journal of Cardiovascular Drugs, Journal of Clinical Hypertension, The American Journal of Cardiology and American Journal of Therapeutics.

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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