Jae‐Jun Song

5.2k citations
230 papers · 3.8k · h-index 32

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 10
    • Vestibular and auditory disorders 18
    • Vagus Nerve Stimulation Research 15

Jae‐Jun Song

214 papers receiving 3.7k citations

Peers

Jae‐Jun Song
Comparison fields: 5 of 163
  • Sensory Systems 272
  • Otorhinolaryngology 228
  • Neurology 353
  • Biotechnology 356
  • Microbiology 153
Replace Takashi Sato with:
Takashi Sato Japan
Thomas Bitter Germany
Bei Chen China
Ping–Chang Yang China
Joachim W. Fluhr Germany
Kyung Soo Kim South Korea
Hyun-Jung Park South Korea
J. H. Widdicombe United States
Manfred Kietzmann Germany
Xi Lin United States
Jae‐Jun Song relative to Takashi Sato Japan Takashi Sato's profile →
Citations per field
00.5×5.3×
Takashi Sato · 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-authors

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

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015207
2 2022104
3 200193
4 202079
5 201076
6 200769
7 200568
8 201363
9 201758
10 201455
11 201752
12 201851
13 201848
14 202048
15 201844
16 201644
17 201140
18 200239
19 201738
20 201038

About Jae‐Jun Song

Jae‐Jun Song is a scholar working on Molecular Biology, Neurology, Sensory Systems, Otorhinolaryngology and Biotechnology, having authored 230 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (28 papers), Ear Surgery and Otitis Media (25 papers), Vestibular and auditory disorders (18 papers), Vagus Nerve Stimulation Research (15 papers), Enzyme Production and Characterization (15 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Microbial Community Ecology and Physiology (9 papers) and Biofuel production and bioconversion (9 papers). The work is most often cited by research in Sensory Systems (272 citations), Otorhinolaryngology (228 citations), Neurology (353 citations), Biotechnology (356 citations) and Microbiology (153 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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