Jay Patrick Bae

1.1k citations
51 papers · 826 · h-index 16

Impact in

Papers in

Jay Patrick Bae

50 papers receiving 786 citations

Peers

Jay Patrick Bae
Comparison fields: 5 of 79
  • Family Practice 53
  • Endocrinology, Diabetes and Metabolism 183
  • Cardiology and Cardiovascular Medicine 166
  • Internal Medicine 20
  • Hepatology 41
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Stephen J Kogut United States
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Citations per field
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Citations per year

Countries citing papers authored by Jay Patrick Bae

Since Specialization
Citations

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

Fields of papers citing papers by Jay Patrick Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015108
2
Adherence and dosing frequency of common medications for cardiovascular patients.
201264
3 201854
4 201640
5
Solutions for adverse selection in behavioral health care.
199738
6 201737
7 201134
8 202131
9 201930
10 201229
11 202128
12 200727
13 201627
14 201422
15 202518
16
Assessing the need, use, and developments in mental health/substance abuse care.
199718
17
Evaluation results from prospective drug utilization review: Medicaid demonstrations.
199915
18 201614
19 201114
20 201012

About Jay Patrick Bae

Jay Patrick Bae is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Family Practice, Economics and Econometrics and General Health Professions, having authored 51 papers that have together received 826 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Diabetes Management and Research (8 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Healthcare Policy and Management (4 papers), Medication Adherence and Compliance (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Family Practice (53 citations), Endocrinology, Diabetes and Metabolism (183 citations), Cardiology and Cardiovascular Medicine (166 citations), Internal Medicine (20 citations) and Hepatology (41 citations). Jay Patrick Bae has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Maureen J. Lage, Kristina Secnik Boye, Byron J. Hoogwerf, David R. Nelson, Daojun Mo, Anthony J. Zagar, Patrick L. McCollam, Rosirene Paczkowski, Emily Elsa Freeman and Tessa Kennedy‐Martin. Their work appears in journals such as Current Medical Research and Opinion, Value in Health, Diabetes Therapy, Journal of Medical Economics and Diabetes Obesity and Metabolism.

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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