Song-Yi Lee

563 citations
22 papers · 445 · h-index 10

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Physiology top 10%
    • Salivary Gland Disorders and Functions
    • Voice and Speech Disorders

Papers in

    • Voice and Speech Disorders 5
    • Salivary Gland Disorders and Functions 4
    • Mesenchymal stem cell research 4

Song-Yi Lee

21 papers receiving 439 citations

Peers

Song-Yi Lee
Comparison fields: 5 of 69
  • Genetics 119
  • Physiology 196
  • Otorhinolaryngology 31
  • Rehabilitation 18
  • Biomaterials 39
Replace Ryo Suzuki with:
Ryo Suzuki Japan
Eun Hee Kim South Korea
Laura Caliogna Italy
Zurab Kakabadze Georgia
Julie Usseglio France
Farid Rezaeian Germany
Kensuke Tashiro Japan
Bret Schipper United States
Barbara Battolla Italy
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Citations per field
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Citations per year

Countries citing papers authored by Song-Yi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Song-Yi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song-Yi Lee. 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 Song-Yi Lee. The network helps show where Song-Yi Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201372
3 201843
4 201433
5 201332
6 201631
7 201328
8 201420
9 201820
10 201710
11 20158
12 20185
13 20255
14 20224
15 20183
16 20253
17 20123
18 20172
19 20161
20 20171

About Song-Yi Lee

Song-Yi Lee is a scholar working on Physiology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 22 papers that have together received 445 indexed citations. Recurring topics across this work include Voice and Speech Disorders (5 papers), Salivary Gland Disorders and Functions (4 papers), Mesenchymal stem cell research (4 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Recycling and Waste Management Techniques (1 paper), Ferroptosis and cancer prognosis (1 paper), Protein Hydrolysis and Bioactive Peptides (1 paper) and Evaluation Methods in Various Fields (1 paper). The work is most often cited by research in Genetics (119 citations), Physiology (196 citations), Otorhinolaryngology (31 citations), Rehabilitation (18 citations) and Biomaterials (39 citations). Song-Yi Lee has collaborated with scholars based in South Korea, United States and Indonesia. Frequent co-authors include Jae‐Yol Lim, Young‐Mo Kim, Jeong‐Seok Choi, TacGhee Yi, Yun Ho Jang, Sun U. Song, Hyun-Soo Shin, Young‐Mo Kim, Jin Hyun Lee and Se Heang Oh. Their work appears in journals such as The Laryngoscope, Stem Cell Research & Therapy, Oral Oncology, The American Journal of Emergency Medicine and Annals of Otology Rhinology & Laryngology.

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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