Jay Bae

1.1k citations
51 papers · 713 indexed · h-index 15

Impact in

Papers in

Jay Bae

46 papers receiving 685 citations

Peers

Jay Bae
Comparison fields: 5 of 84
  • Family Practice 71
  • Endocrinology, Diabetes and Metabolism 271
  • Geriatrics and Gerontology 36
  • Internal Medicine 34
  • Cardiology and Cardiovascular Medicine 175
Replace Joanna Huang with:
Joanna Huang United States
Irene Marzona Italy
Joseph Salami United States
Simon J. Griffin United Kingdom
Joel C. Marrs United States
S. Yu. Martsevich Russia
Hermione Price United Kingdom
Н. П. Кутишенко Russia
Candice L. Garwood United States
D. K. G. Andersson Sweden
Jay Bae relative to Joanna Huang United States Joanna Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay Bae

Since Specialization
Citations

This map shows the geographic impact of Jay 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 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 Bae more than expected).

Fields of papers citing papers by Jay Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay 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 Bae Line = papers co-authored together Jay 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 2015102
2
Adherence and dosing frequency of common medications for cardiovascular patients.
201261
3 201848
4 201639
5
Solutions for adverse selection in behavioral health care.
199733
6 201133
7 202129
8 201727
9 202126
10 200726
11 201626
12 201224
13 201420
14
Assessing the need, use, and developments in mental health/substance abuse care.
199718
15 200114
16 201114
17
Evaluation results from prospective drug utilization review: Medicaid demonstrations.
199914
18 201613
19 201712
20 201012

About Jay Bae

Jay Bae is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism, Pharmacy, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 51 papers that have together received 713 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (19 papers), Diabetes Management and Research (17 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Medication Adherence and Compliance (7 papers), Acute Myocardial Infarction Research (6 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Family Practice (71 citations), Endocrinology, Diabetes and Metabolism (271 citations), Geriatrics and Gerontology (36 citations), Internal Medicine (34 citations) and Cardiology and Cardiovascular Medicine (175 citations). Jay Bae has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Maureen J. Lage, Byron J. Hoogwerf, Kristina S. Boye, David R. Nelson, Daojun Mo, Patrick L. McCollam, Anthony J. Zagar, Emily Freeman, Tessa Kennedy‐Martin and Rosirene Paczkowski. Their work appears in journals such as Current Medical Research and Opinion, Diabetes Therapy, Value in Health, Journal of Diabetes and its Complications 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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