Jay Visaria

21 papers receiving 268 citations

Peers

Jay Visaria
Comparison fields: 5 of 76
  • Family Practice 30
  • Microbiology 60
  • Geriatrics and Gerontology 20
  • Endocrinology, Diabetes and Metabolism 65
  • Medical Laboratory Technology 5
Replace Anthony S. Gunnell with:
Anthony S. Gunnell Australia
Caterina Bianca Neve Aurora Bianchi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jay Visaria

Since Specialization
Citations

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

Fields of papers citing papers by Jay Visaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200887
2 200633
3 200730
4 202020
5 202118
6
Dispensing channel and medication adherence: evidence across 3 therapy classes.
201318
7 201615
8 201914
9 201413
10 20189
11 20119
12 20195
13 20204
14
Impact of medical and/or pharmacy reimbursement on adult vaccination rates.
20184
15 20203
16 20092
17
Analysis of the impact of the Uruguay Round Agreements Act on pharmaceutical patents.
20092
18
Healthcare Costs of Diabetes and Microvascular and Macrovascular Disease in Individuals with Incident Type 2 Diabetes Mellitus: A Ten-Year Longitudinal Study
20201
19 20061
20 20071

About Jay Visaria

Jay Visaria is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Economics and Econometrics, Pediatrics, Perinatology and Child Health and Family Practice, having authored 23 papers that have together received 291 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Pharmaceutical Economics and Policy (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Medical Device Sterilization and Disinfection (3 papers), Pharmaceutical studies and practices (3 papers), Medication Adherence and Compliance (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Family Practice (30 citations), Microbiology (60 citations), Geriatrics and Gerontology (20 citations), Endocrinology, Diabetes and Metabolism (65 citations) and Medical Laboratory Technology (5 citations). Jay Visaria has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Rosa Rodríguez-Monguió, Enrique Seoane‐Vazquez, Sheryl L. Szeinbach, Vincent J. Willey, Angeline M. Carlson, Rochelle Henderson, Joseph Singer, David M. Kern, Todd Hobbs and Amit D. Raval. Their work appears in journals such as Value in Health, Clinical Therapeutics, Current Medical Research and Opinion, The International Journal of Health Planning and Management and Orphanet Journal of Rare Diseases.

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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