Jae‐Jun Song

5.1k citations
229 papers · 3.7k indexed · h-index 31

Impact in

Papers in

Jae‐Jun Song

213 papers receiving 3.6k citations

Peers

Jae‐Jun Song
Comparison fields: 5 of 171
  • Sensory Systems 372
  • Otorhinolaryngology 252
  • Neurology 417
  • Biotechnology 367
  • Microbiology 169
Replace Thomas Bitter with:
Thomas Bitter Germany
Gerly Anne de Castro Brito Brazil
Takashi Sato Japan
Sung Won Chae South Korea
Steen Seier Poulsen Denmark
Zhi Wang China
Ping–Chang Yang China
J. H. Widdicombe United States
Joachim W. Fluhr Germany
Kyung Soo Kim South Korea
Jae‐Jun Song relative to Thomas Bitter Germany Thomas Bitter's profile →
Citations per field
00.5×4.9×
Thomas Bitter · 1×
Citations per year

Countries citing papers authored by Jae‐Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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13 20188
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15 20159
16
Regeneration of facial nerve using mesenchymal stem cells in facial nerve palsy animal model
20092
17
A Case of Superior Semicircular Canal Dehiscence Syndrome
20073
18
Application of Denaturing Gradient Gel Electrophoresis to Estimate the Diversity of Commensal Thermophiles
20032
19
Symbiobacterium toebii sp. nov., commensal thermophile isolated from Korean compost
20037
20
Cometabolism of $\omega$-Phenylalkanoic Acids with Butyric Acid for Efficient Production of Aromatic Polyesters in Pseudomonas putida BM01
200116

About Jae‐Jun Song

Jae‐Jun Song is a scholar working on Sensory Systems, Otorhinolaryngology, Neurology, Biotechnology and Speech and Hearing, having authored 229 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (33 papers), Vestibular and auditory disorders (28 papers), Ear Surgery and Otitis Media (27 papers), Hearing Loss and Rehabilitation (16 papers), Enzyme Production and Characterization (15 papers), Vagus Nerve Stimulation Research (15 papers), Heart Rate Variability and Autonomic Control (12 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). The work is most often cited by research in Sensory Systems (372 citations), Otorhinolaryngology (252 citations), Neurology (417 citations), Biotechnology (367 citations) and Microbiology (169 citations). Jae‐Jun Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung Won Chae, Mukesh Yadav, Yoon Young Go, Gi Jung Im, Seung‐Goo Lee, Jong Hyun Choi, Chang Gun Cho, Sung-Won Chae, Jae‐Woo Chung and Seong Keun Kwon. Their work appears in journals such as International Journal of Pediatric Otorhinolaryngology, Scientific Reports, PLoS ONE, Acta Oto-Laryngologica and Clinical and Experimental Otorhinolaryngology.

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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2026