Mun Young Chang

1.0k total citations
61 papers, 699 citations indexed

About

Mun Young Chang is a scholar working on Sensory Systems, Neurology and Otorhinolaryngology. According to data from OpenAlex, Mun Young Chang has authored 61 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Sensory Systems, 27 papers in Neurology and 13 papers in Otorhinolaryngology. Recurrent topics in Mun Young Chang's work include Hearing, Cochlea, Tinnitus, Genetics (28 papers), Vestibular and auditory disorders (26 papers) and Hearing Loss and Rehabilitation (12 papers). Mun Young Chang is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (28 papers), Vestibular and auditory disorders (26 papers) and Hearing Loss and Rehabilitation (12 papers). Mun Young Chang collaborates with scholars based in South Korea, Puerto Rico and United States. Mun Young Chang's co-authors include Byung Yoon Choi, Seog‐Kyun Mun, Seung Ha Oh, Ja‐Won Koo, Woong‐Yang Park, Moo Kyun Park, Sook‐Young Woo, Yang‐Sun Cho, Seonwoo Kim and Chung Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Pharmacology.

In The Last Decade

Mun Young Chang

57 papers receiving 680 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mun Young Chang South Korea 16 328 253 137 127 126 61 699
Chung‐Ku Rhee South Korea 17 354 1.1× 301 1.2× 77 0.6× 165 1.3× 75 0.6× 53 812
Dimitrios Kandiloros Greece 16 215 0.7× 212 0.8× 85 0.6× 228 1.8× 77 0.6× 46 756
Grażyna Lisowska Poland 13 264 0.8× 218 0.9× 152 1.1× 117 0.9× 44 0.3× 68 566
Andrew J Heller United States 10 407 1.2× 292 1.2× 302 2.2× 90 0.7× 36 0.3× 16 725
Mitsuya Suzuki Japan 16 410 1.3× 363 1.4× 134 1.0× 175 1.4× 125 1.0× 77 818
Krzysztof Morawski Poland 15 401 1.2× 302 1.2× 277 2.0× 125 1.0× 60 0.5× 83 715
Marina Savastano Italy 16 532 1.6× 406 1.6× 353 2.6× 87 0.7× 77 0.6× 37 782
Hun Yi Park South Korea 17 430 1.3× 413 1.6× 174 1.3× 207 1.6× 77 0.6× 61 881
Arne W. Scholtz Austria 15 254 0.8× 149 0.6× 117 0.9× 45 0.4× 86 0.7× 28 657
Maria Riga Greece 23 535 1.6× 446 1.8× 198 1.4× 292 2.3× 35 0.3× 59 1.1k

Countries citing papers authored by Mun Young Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mun Young Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun Young Chang. 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 Mun Young Chang. The network helps show where Mun Young Chang may publish in the future.

Co-authorship network of co-authors of Mun Young Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Mun Young Chang. A scholar is included among the top collaborators of Mun Young Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mun Young Chang. Mun Young Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahn, Ji‐Young, et al.. (2025). Applications and Future Perspectives of Large Language Models in Otolaryngology-Head and Neck Surgery: A Comprehensive Survey. Clinical and Experimental Otorhinolaryngology. 18(4). 283–295.
2.
Chang, Mun Young, et al.. (2024). Cross‐modal embedding integrator for disease‐gene/protein association prediction using a multi‐head attention mechanism. Pharmacology Research & Perspectives. 12(6). e70034–e70034.
3.
Mun, Seog‐Kyun, et al.. (2024). Social distancing during the COVID-19 pandemic: Potential impact and correlation with asthma. Heart & Lung. 68. 18–22. 1 indexed citations
4.
Lee, Hyun‐Jin, et al.. (2023). Tinnitus and Cognitive Decline. Korean Journal of Otorhinolaryngology - Head and Neck Surgery. 66(10). 641–645. 1 indexed citations
5.
Ku, Yunseo, et al.. (2022). Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors. Clinical and Experimental Otorhinolaryngology. 15(2). 168–176. 13 indexed citations
6.
Lee, Sang‐Yeon, Mun Young Chang, Byung Yoon Choi, et al.. (2021). Is the posterior cingulate cortex an on-off switch for tinnitus?: A comparison between hearing loss subjects with and without tinnitus. Hearing Research. 411. 108356–108356. 16 indexed citations
7.
Mun, Seog‐Kyun, et al.. (2020). MicroRNAs Related to Cognitive Impairment After Hearing Loss. Clinical and Experimental Otorhinolaryngology. 14(1). 76–81. 8 indexed citations
8.
Lee, Sei Young, et al.. (2020). Can Osteopenia Induce Residual Dizziness After Treatment of Benign Paroxysmal Positional Vertigo?. Otology & Neurotology. 41(5). e603–e606. 9 indexed citations
9.
Lee, Sei Young, et al.. (2018). Clinical utility of cervical vestibular-evoked myogenic potentials in predicting residual dizziness after benign paroxysmal positional vertigo. Clinical Neurophysiology. 130(1). 95–100. 12 indexed citations
10.
Chang, Mun Young, et al.. (2018). Surgical Labyrinthectomy of the Rat to Study the Vestibular System. Journal of Visualized Experiments. 4 indexed citations
11.
Mun, Seog‐Kyun, et al.. (2018). Losartan Prevents Maladaptive Auditory-Somatosensory Plasticity After Hearing Loss via Transforming Growth Factor-β Signaling Suppression. Clinical and Experimental Otorhinolaryngology. 12(1). 33–39. 11 indexed citations
12.
Chang, Mun Young, et al.. (2017). The Effect of Systemic Steroid on Hearing Preservation After Cochlear Implantation via Round Window Approach: A Guinea Pig Model. Otology & Neurotology. 38(7). 962–969. 15 indexed citations
13.
Chang, Mun Young, et al.. (2017). The Protective Effect of Egb 761 Against 3-Nitropropionic Acid-Induced Hearing Loss: The Role of Sirtuin 1. Clinical and Experimental Otorhinolaryngology. 11(1). 9–16. 13 indexed citations
14.
Kim, Bong Jik, Ah Reum Kim, Chung Lee, et al.. (2016). Discovery of CDH23 as a Significant Contributor to Progressive Postlingual Sensorineural Hearing Loss in Koreans. PLoS ONE. 11(10). e0165680–e0165680. 31 indexed citations
15.
Koo, Ja‐Won, Mun Young Chang, Sook‐Young Woo, Seonwoo Kim, & Yang‐Sun Cho. (2015). Prevalence of vestibular dysfunction and associated factors in South Korea. BMJ Open. 5(10). e008224–e008224. 48 indexed citations
16.
Chang, Mun Young, Ah Reum Kim, Nayoung K. D. Kim, et al.. (2015). Refinement of Molecular Diagnostic Protocol of Auditory Neuropathy Spectrum Disorder. Medicine. 94(47). e1996–e1996. 17 indexed citations
17.
Park, Mina, Jae‐Jin Song, Mun Young Chang, et al.. (2014). Malleostapedotomy Revisited. Otology & Neurotology. 35(9). 1504–1508. 13 indexed citations
18.
Chang, Mun Young, Jae‐Jin Song, Ji Soo Kim, & Ja‐Won Koo. (2013). Contralateral suppression of distortion-product otoacoustic emissions: A potential diagnostic tool to evaluate the vestibular nerve. Medical Hypotheses. 81(5). 830–833. 3 indexed citations
19.
Park, Soo‐Jin, et al.. (2009). The age-dependent induction of apoptosis-inducing factor (AIF) in the human semitendinosus skeletal muscle. Cellular & Molecular Biology Letters. 15(1). 1–12. 25 indexed citations
20.
Shim, Yhong‐Hee, et al.. (1995). Map dynamic ranges versus duration of hearing loss in cochlear implantees.. PubMed. 166. 178–80. 5 indexed citations

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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