Chen‐Chi Wu

3.5k total citations
128 papers, 2.4k citations indexed

About

Chen‐Chi Wu is a scholar working on Sensory Systems, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Chen‐Chi Wu has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Sensory Systems, 36 papers in Molecular Biology and 30 papers in Cognitive Neuroscience. Recurrent topics in Chen‐Chi Wu's work include Hearing, Cochlea, Tinnitus, Genetics (71 papers), Hearing Loss and Rehabilitation (30 papers) and Vestibular and auditory disorders (28 papers). Chen‐Chi Wu is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (71 papers), Hearing Loss and Rehabilitation (30 papers) and Vestibular and auditory disorders (28 papers). Chen‐Chi Wu collaborates with scholars based in Taiwan, United States and China. Chen‐Chi Wu's co-authors include Chuan‐Jen Hsu, Pei‐Jer Chen, Chin‐Laung Lei, Kuan-Ta Chen, Yuchun Chang, Tien‐Chen Liu, Yi‐Ho Young, Yingchang Lu, Shu‐Ching Hsu and Ming‐Zong Lai and has published in prestigious journals such as Blood, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Chen‐Chi Wu

115 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Chi Wu Taiwan 30 1.2k 688 603 471 399 128 2.4k
Keehyun Park South Korea 22 697 0.6× 233 0.3× 692 1.1× 170 0.4× 430 1.1× 112 2.0k
Masayoshi Tachibana Japan 26 521 0.4× 1.1k 1.6× 173 0.3× 86 0.2× 58 0.1× 95 2.6k
Yuan Zhang China 23 270 0.2× 554 0.8× 272 0.5× 62 0.1× 20 0.1× 154 1.9k
Frank H. Eeckman United States 12 199 0.2× 1.9k 2.8× 123 0.2× 373 0.8× 21 0.1× 26 3.4k
Yoshihiro Watanabe Japan 31 44 0.0× 1.4k 2.0× 250 0.4× 170 0.4× 53 0.1× 292 4.6k
Pei‐Hsuan Lin Taiwan 17 151 0.1× 274 0.4× 50 0.1× 63 0.1× 57 0.1× 85 912
Ian C. Bruce Canada 27 1.3k 1.1× 485 0.7× 166 0.3× 2.0k 4.2× 9 0.0× 83 3.0k
David T. Liu Austria 21 554 0.5× 786 1.1× 38 0.1× 67 0.1× 192 0.5× 91 2.3k
David Kulp United States 20 102 0.1× 3.3k 4.9× 378 0.6× 125 0.3× 24 0.1× 35 4.8k
Marta Milo United Kingdom 24 376 0.3× 1.1k 1.7× 134 0.2× 112 0.2× 44 0.1× 37 2.0k

Countries citing papers authored by Chen‐Chi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Chi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Chi Wu. 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 Chen‐Chi Wu. The network helps show where Chen‐Chi Wu may publish in the future.

Co-authorship network of co-authors of Chen‐Chi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Chi Wu. A scholar is included among the top collaborators of Chen‐Chi Wu 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 Chen‐Chi Wu. Chen‐Chi Wu 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.
Li, Yingxi, Jing Luo, Dandan Tian, et al.. (2025). HLA-DOB: A Key “Coordinator” Between Cutaneous Melanoma and Psoriasis. Journal of Cancer. 16(11). 3415–3424.
2.
Danshiitsoodol, Narandalai, et al.. (2024). Genetic Basis of Hearing Loss in Mongolian Patients: A Next-Generation Sequencing Study. Genes. 15(9). 1227–1227. 1 indexed citations
3.
Yang, Ting‐Hua, Angela Yen, Lifu Chen, et al.. (2024). Critical role of hepsin/TMPRSS1 in hearing and tectorial membrane morphogenesis: Insights from transgenic mouse models. Hearing Research. 453. 109134–109134.
4.
Tsai, Cheng‐Yu, Pei‐Hsuan Lin, Yu‐Jen Wu, et al.. (2024). Machine learning-based longitudinal prediction for GJB2-related sensorineural hearing loss. Computers in Biology and Medicine. 176. 108597–108597. 3 indexed citations
5.
Chiang, Yu‐Ting, Pei‐Hsuan Lin, Cheng‐Yu Tsai, et al.. (2023). Genetic Factors Contribute to the Phenotypic Variability in GJB2-Related Hearing Impairment. Journal of Molecular Diagnostics. 25(11). 827–837. 5 indexed citations
6.
Tsai, Cheng‐Yu, Pei‐Hsuan Lin, Yu‐Ting Chiang, et al.. (2023). Revisiting Genetic Epidemiology with a Refined Targeted Gene Panel for Hereditary Hearing Impairment in the Taiwanese Population. Genes. 14(4). 880–880. 2 indexed citations
7.
Tan, Ching‐Ting, et al.. (2022). Effects of Diet and Lifestyle on Audio-Vestibular Dysfunction in the Elderly: A Literature Review. Nutrients. 14(22). 4720–4720. 9 indexed citations
8.
Lin, Pei‐Hsuan, Hung‐Pin Wu, Che‐Ming Wu, et al.. (2022). Cochlear Implantation Outcomes in Patients with Auditory Neuropathy Spectrum Disorder of Genetic and Non-Genetic Etiologies: A Multicenter Study. Biomedicines. 10(7). 1523–1523. 16 indexed citations
9.
Takeda, Hiroki, Chun-Ying Huang, Ru Xiao, et al.. (2020). Efficient In Utero Gene Transfer to the Mammalian Inner Ears by the Synthetic Adeno-Associated Viral Vector Anc80L65. Molecular Therapy — Methods & Clinical Development. 18. 493–500. 21 indexed citations
10.
Wu, Chen‐Chi, Aurore Brugeaud, Wei-Hsi Yeh, et al.. (2020). Altered expression of genes regulating inflammation and synaptogenesis during regrowth of afferent neurons to cochlear hair cells. PLoS ONE. 15(10). e0238578–e0238578. 10 indexed citations
11.
Hwang, Juen-Haur, et al.. (2019). Can Nutritional Intervention for Obesity and Comorbidities Slow Down Age-Related Hearing Impairment?. Nutrients. 11(7). 1668–1668. 14 indexed citations
12.
Wu, Chen‐Chi, Yin-Hung Lin, Tien‐Chen Liu, et al.. (2015). Identifying Children With Poor Cochlear Implantation Outcomes Using Massively Parallel Sequencing. Medicine. 94(27). e1073–e1073. 57 indexed citations
13.
Wu, Chen‐Chi, Yin-Hung Lin, Yingchang Lu, et al.. (2013). Application of Massively Parallel Sequencing to Genetic Diagnosis in Multiplex Families with Idiopathic Sensorineural Hearing Impairment. PLoS ONE. 8(2). e57369–e57369. 35 indexed citations
14.
Wu, Chen‐Chi, et al.. (2011). Genetic characteristics in children with cochlear implants and the corresponding auditory performance. The Laryngoscope. 121(6). 1287–1293. 44 indexed citations
15.
Wu, Chen‐Chi, et al.. (2010). Mutations in the <i>OTOF</i> Gene in Taiwanese Patients with Auditory Neuropathy. Audiology and Neurotology. 15(6). 364–374. 47 indexed citations
16.
Wu, Chen‐Chi, et al.. (2009). Association of Central Obesity With the Severity and Audiometric Configurations of Age‐related Hearing Impairment. Obesity. 17(9). 1796–1801. 74 indexed citations
17.
Wu, Chen‐Chi, et al.. (2009). L-Glutamine inhibits beta-aminobutyric acid-induced stress resistance and priming in Arabidopsis. Journal of Experimental Botany. 61(4). 995–1002. 71 indexed citations
18.
Ko, Mei‐Ju, Chen‐Chi Wu, & Hsien‐Ching Chiu. (2005). Tuberculous Gumma (Cutaneous Metastatic Tuberculous Abscess). 23(1). 27–31. 2 indexed citations
19.
Wu, Chen‐Chi & Jau‐Shiuh Chen. (2005). An Asymptomatic Nodule on the Lower Eyelid. 23(1). 52–53. 1 indexed citations
20.
Wu, Chen‐Chi, Pei‐Jer Chen, & Chuan‐Jen Hsu. (2005). Specificity of <i>SLC26A4</i> Mutations in the Pathogenesis of Inner Ear Malformations. Audiology and Neurotology. 10(4). 234–242. 17 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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