SungA Bae

927 citations
43 papers · 665 · h-index 10

Impact in

Papers in

SungA Bae

38 papers receiving 650 citations

Peers

SungA Bae
Comparison fields: 5 of 97
  • Health Informatics 13
  • Cellular and Molecular Neuroscience 128
  • Cardiology and Cardiovascular Medicine 130
  • Infectious Diseases 99
  • Radiology, Nuclear Medicine and Imaging 90
Replace Maddalena Ardissino with:
Maddalena Ardissino United Kingdom
Rajinder Kumar Dhamija India
Jason J. Wang United States
Saeed Sadeghian Iran
Timothy J. Gray Australia
Hugo Sandoval Mexico
David Frost Canada
Jane K. McGavin New Zealand
Jingjing Huang China
Daniel Peter Jones United Kingdom
SungA Bae relative to Maddalena Ardissino United Kingdom Maddalena Ardissino's profile →
Citations per field
00.5×2×3×
Maddalena Ardissino · 1×
Citations per year

Countries citing papers authored by SungA Bae

Since Specialization
Citations

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

Fields of papers citing papers by SungA Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020211
2 2002128
3 200558
4 202239
5 202029
6 202422
7 200720
8 202213
9 202212
10 200510
11 202310
12 201010
13 202410
14 20239
15 20238
16 20017
17 20247
18 20236
19 20216
20 20235

About SungA Bae

SungA Bae is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Health Informatics and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 665 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (9 papers), Cardiac Imaging and Diagnostics (7 papers), Coronary Interventions and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Heart Failure Treatment and Management (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (13 citations), Cellular and Molecular Neuroscience (128 citations), Cardiology and Cardiovascular Medicine (130 citations), Infectious Diseases (99 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). SungA Bae has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seong‐Mi Park, So Ree Kim, Mi-Na Kim, Wan Joo Shim, Yiyun Henry Huang, Marc A. Laruelle, Lawrence S. Kegeles, Dah‐Ren Hwang, Bryan L. Roth and Alan A. Wilson. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Scientific Reports, Medicine, Bioorganic & Medicinal Chemistry Letters and PLoS ONE.

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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