Su‐Hua Sha

1.4k total citations
31 papers, 1.1k citations indexed

About

Su‐Hua Sha is a scholar working on Sensory Systems, Molecular Biology and Neurology. According to data from OpenAlex, Su‐Hua Sha has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sensory Systems, 10 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Su‐Hua Sha's work include Hearing, Cochlea, Tinnitus, Genetics (20 papers), Hearing Loss and Rehabilitation (5 papers) and Vestibular and auditory disorders (4 papers). Su‐Hua Sha is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (20 papers), Hearing Loss and Rehabilitation (5 papers) and Vestibular and auditory disorders (4 papers). Su‐Hua Sha collaborates with scholars based in United States, China and Switzerland. Su‐Hua Sha's co-authors include Jochen Schacht, Hongyan Jiang, Kayla Hill, Fuquan Chen, Qiaojun Fang, Jun Chen, Hao Xiong, Xianren Wang, Hongwei Zheng and Renjie Chai and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Su‐Hua Sha

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su‐Hua Sha United States	18	769	450	263	164	153	31	1.1k
Daogong Zhang China	14	508 0.7×	374 0.8×	328 1.2×	85 0.5×	80 0.5×	63	953
Bo Hua Hu United States	22	1.3k 1.7×	414 0.9×	392 1.5×	469 2.9×	136 0.9×	60	1.7k
Andra E. Talaska United States	8	539 0.7×	236 0.5×	207 0.8×	161 1.0×	52 0.3×	10	840
J. Lautermann Germany	13	652 0.8×	423 0.9×	248 0.9×	124 0.8×	29 0.2×	40	1.0k
Dongmei Tang China	17	210 0.3×	422 0.9×	101 0.4×	96 0.6×	193 1.3×	57	906
Kazuma Sugahara Japan	19	349 0.5×	382 0.8×	163 0.6×	66 0.4×	25 0.2×	63	871
Uma Bai United States	14	364 0.5×	427 0.9×	191 0.7×	145 0.9×	27 0.2×	17	848
John D. McLaren United States	14	361 0.5×	207 0.5×	146 0.6×	110 0.7×	16 0.1×	26	768
Ke Xiao China	14	151 0.2×	316 0.7×	89 0.3×	36 0.2×	35 0.2×	36	665
Colleen C. Hegg United States	21	462 0.6×	213 0.5×	138 0.5×	25 0.2×	12 0.1×	30	982

Countries citing papers authored by Su‐Hua Sha

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Hua Sha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Hua Sha. 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 Su‐Hua Sha. The network helps show where Su‐Hua Sha may publish in the future.

Co-authorship network of co-authors of Su‐Hua Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Hua Sha. A scholar is included among the top collaborators of Su‐Hua Sha 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 Su‐Hua Sha. Su‐Hua Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Fan, Guisheng Chen, Peiwen Liu, et al.. (2025). AAVR Expression is Essential for AAV Vector Transduction in Sensory Hair Cells. Advanced Science. 12(29). e2408873–e2408873. 3 indexed citations

Wu, Fan, et al.. (2025). 5xFAD mutations induce hearing impairment in the Ahl-corrected 5xFAD mice. Experimental Neurology. 395. 115463–115463.

Wu, Fan, et al.. (2025). Prevention of aminoglycoside-induced outer hair cell loss by silencing CaMKKβ in an acute mouse model. Hearing Research. 466. 109372–109372.

Wei, Yongjie, Yuhua Zhang, Wei Cao, et al.. (2025). RONIN/HCF1‐TFEB Axis Protects Against D‐Galactose‐Induced Cochlear Hair Cell Senescence Through Autophagy Activation. Advanced Science. 12(29). e2407880–e2407880. 7 indexed citations

Fang, Qiaojun, et al.. (2023). Prevention of noise-induced hearing loss by calpain inhibitor MDL-28170 is associated with upregulation of PI3K/Akt survival signaling pathway. Frontiers in Cellular Neuroscience. 17. 1199656–1199656. 10 indexed citations

Huang, Xueping, Ziyi Cai, Guisheng Chen, et al.. (2023). CFTR potentiator ivacaftor protects against noise-induced hair cell loss by increasing Nrf2 and reducing oxidative stress. Biomedicine & Pharmacotherapy. 166. 115399–115399. 12 indexed citations

Wu, Fan, Kumar Sambamurti, & Su‐Hua Sha. (2022). Current Advances in Adeno-Associated Virus-Mediated Gene Therapy to Prevent Acquired Hearing Loss. Journal of the Association for Research in Otolaryngology. 23(5). 569–578. 10 indexed citations

Fang, Qiaojun, Yuhua Zhang, Buwei Shao, et al.. (2019). Deletion of Limk1 and Limk2 in mice does not alter cochlear development or auditory function. Scientific Reports. 9(1). 19 indexed citations

Xiong, Hao, Song Pan, Xianren Wang, et al.. (2019). Inhibition of Histone Methyltransferase G9a Attenuates Noise-Induced Cochlear Synaptopathy and Hearing Loss. Journal of the Association for Research in Otolaryngology. 20(3). 217–232. 16 indexed citations

10.

Fang, Qiaojun, et al.. (2019). Cochlear Surface Preparation in the Adult Mouse. Journal of Visualized Experiments. 29 indexed citations

11.

Yang, Chao‐Hui, et al.. (2017). Histone Deacetylase Inhibitors Are Protective in Acute but Not in Chronic Models of Ototoxicity. Frontiers in Cellular Neuroscience. 11. 315–315. 10 indexed citations

12.

Pandey, Atul, et al.. (2016). MEKK4 Signaling Regulates Sensory Cell Development and Function in the Mouse Inner Ear. Journal of Neuroscience. 36(4). 1347–1361. 14 indexed citations

13.

Chen, Jun, Kayla Hill, & Su‐Hua Sha. (2016). Inhibitors of Histone Deacetylases Attenuate Noise-Induced Hearing Loss. Journal of the Association for Research in Otolaryngology. 17(4). 289–302. 31 indexed citations

14.

Hu, Yuan, Xianren Wang, Kayla Hill, et al.. (2015). Autophagy Attenuates Noise-Induced Hearing Loss by Reducing Oxidative Stress. Antioxidants and Redox Signaling. 22(15). 1308–1324. 142 indexed citations

15.

Chen, Jun, Yuan Hu, Andra E. Talaska, Kayla Hill, & Su‐Hua Sha. (2015). Increased Sensitivity to Noise-Induced Hearing Loss by Blockade of Endogenous PI3K/Akt Signaling. Journal of the Association for Research in Otolaryngology. 16(3). 347–356. 39 indexed citations

16.

Chen, Fuquan, Hongwei Zheng, Kayla Hill, & Su‐Hua Sha. (2012). Traumatic Noise Activates Rho-Family GTPases through Transient Cellular Energy Depletion. Journal of Neuroscience. 32(36). 12421–12430. 63 indexed citations

17.

Chen, Fuquan, Jochen Schacht, & Su‐Hua Sha. (2009). Aminoglycoside‐induced histone deacetylation and hair cell death in the mouse cochlea. Journal of Neurochemistry. 108(5). 1226–1236. 66 indexed citations

18.

Jiang, Hongyan, Su‐Hua Sha, & Jochen Schacht. (2006). Rac/Rho pathway regulates actin depolymerization induced by aminoglycoside antibiotics. Journal of Neuroscience Research. 83(8). 1544–1551. 35 indexed citations

19.

Jiang, Hongyan, Su‐Hua Sha, & Jochen Schacht. (2006). Kanamycin alters cytoplasmic and nuclear phosphoinositide signaling in the organ of Corti in vivo. Journal of Neurochemistry. 99(1). 269–276. 54 indexed citations

20.

Sha, Su‐Hua. (2005). Physiological and Molecular Pathology of Aminoglycoside Ototoxicity.. The Volta Review. 105(3). 325–334. 1 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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