Hee‐Jung Song

3.3k citations
71 papers · 2.2k indexed · 1 hit paper · h-index 25

Hee‐Jung Song

70 papers receiving 2.1k citations

Hit Papers

Cryptogenic Stroke and High-Risk Patent Foramen Ovale3382018202620202023100200300

Peers

Hee‐Jung Song
Comparison fields: 5 of 140
  • Family Practice 47
  • Public Health, Environmental and Occupational Health 599
  • Neurology 310
  • General Health Professions 469
  • Leadership and Management 18
Replace Min Gao with:
Min Gao China
Joanna Rosińćzuk Poland
Robert Topp United States
Johannes M. Giesinger Austria
Jacqueline Müller‐Nordhorn Germany
Marie Eriksson Sweden
Kelli D. Allen United States
Hye Young Kim South Korea
Runlin Gao China
Tanveer Towheed Canada
Hee‐Jung Song relative to Min Gao China Min Gao's profile →
Citations per field
00.5×
Min Gao · 1×
Citations per year

Countries citing papers authored by Hee‐Jung Song

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Jung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Jung Song. 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 Hee‐Jung Song. The network helps show where Hee‐Jung Song may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 202322
3 202014
4 202019
5 201971
6 20192
7 20183
8
Cryptogenic Stroke and High-Risk Patent Foramen Ovalebreakdown →
2018338
9 20182
10 201825
11 20174
12 201725
13 20169
14 201429
15 201412
16 20131
17 201155
18 201110
19 200934
20
A Case of Hypothyroid Myopathy due to Hashimoto's Thyroiditis
20020

About Hee‐Jung Song

Hee‐Jung Song is a scholar working on Family Practice, Leadership and Management and Neurology, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (10 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Acute Ischemic Stroke Management (8 papers), Cardiovascular Health and Disease Prevention (7 papers), Pharmacological Effects of Natural Compounds (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Mitochondrial Function and Pathology (4 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Family Practice (47 citations), Public Health, Environmental and Occupational Health (599 citations) and Neurology (310 citations). Hee‐Jung Song has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Miyong T. Kim, Joel Gittelsohn, Sonali Suratkar, Hae‐Ra Han, Sangita Sharma, Jean Anliker, Hye Seon Jeong, Kim B. Kim, C.K. Kim and Soohyun Nam. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology 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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