Yun Nan

1.1k total citations
36 papers, 765 citations indexed

About

Yun Nan is a scholar working on Cognitive Neuroscience, Music and Experimental and Cognitive Psychology. According to data from OpenAlex, Yun Nan has authored 36 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 10 papers in Music and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Yun Nan's work include Neuroscience and Music Perception (26 papers), Hearing Loss and Rehabilitation (11 papers) and Diverse Music Education Insights (10 papers). Yun Nan is often cited by papers focused on Neuroscience and Music Perception (26 papers), Hearing Loss and Rehabilitation (11 papers) and Diverse Music Education Insights (10 papers). Yun Nan collaborates with scholars based in China, United States and Canada. Yun Nan's co-authors include Angela D. Friederici, Isabelle Peretz, Thomas R. Knösche, Yanan Sun, Qi Dong, Chang Liu, Li Liu, Hua Shu, Yuejia Luo and Stefan Zysset and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain and Scientific Reports.

In The Last Decade

Yun Nan

31 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Nan China 15 687 326 164 137 103 36 765
Trevor Henthorn United States 11 538 0.8× 315 1.0× 49 0.3× 106 0.8× 189 1.8× 21 671
Dominique T. Vuvan Canada 13 543 0.8× 197 0.6× 60 0.4× 146 1.1× 122 1.2× 29 588
Julie Chobert France 12 987 1.4× 282 0.9× 333 2.0× 280 2.0× 85 0.8× 14 1.1k
Olivia Ladinig Netherlands 9 598 0.9× 184 0.6× 83 0.5× 157 1.1× 190 1.8× 15 695
Paula Virtala Finland 13 331 0.5× 95 0.3× 139 0.8× 65 0.5× 30 0.3× 25 398
Alice H. D. Chan Singapore 13 403 0.6× 320 1.0× 142 0.9× 32 0.2× 38 0.4× 28 604
Heather Johnston United States 5 451 0.7× 153 0.5× 69 0.4× 61 0.4× 73 0.7× 8 514
Nelson Cowan United States 7 507 0.7× 196 0.6× 78 0.5× 34 0.2× 58 0.6× 10 587
Frédérique Faïta France 7 635 0.9× 209 0.6× 119 0.7× 144 1.1× 170 1.7× 7 683
Nathaniel S. Miller United States 5 420 0.6× 133 0.4× 59 0.4× 58 0.4× 64 0.6× 14 477

Countries citing papers authored by Yun Nan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Nan. 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 Yun Nan. The network helps show where Yun Nan may publish in the future.

Co-authorship network of co-authors of Yun Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Nan. A scholar is included among the top collaborators of Yun Nan 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 Yun Nan. Yun Nan 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.
Dong, Qi, et al.. (2025). Neural rhythm processing predicts later executive functions and self-regulation in early adolescence. Personality and Individual Differences. 236. 113033–113033.
2.
Xie, Xiaoqing, et al.. (2025). Do Intellectually Gifted Children Have Better Planning Skills?. Journal of Intelligence. 13(5). 54–54.
3.
Liu, Li, et al.. (2024). Musical pitch processing predicts reading development in Chinese school-age children. Journal of Neurolinguistics. 71. 101199–101199. 1 indexed citations
4.
Nan, Yun, et al.. (2023). An Automatic Method for Delimiting Deformation Area in InSAR Based on HNSW-DBSCAN Clustering Algorithm. Remote Sensing. 15(17). 4287–4287. 5 indexed citations
5.
Du, Boqi, Yuxuan Zhang, Li Liu, et al.. (2022). Behavioral and neural rhythm sensitivities predict phonological awareness and word reading development in Chinese. Brain and Language. 230. 105126–105126. 6 indexed citations
6.
Du, Boqi, et al.. (2021). The development of brain rhythms at rest and its impact on vocabulary acquisition. Developmental Science. 25(2). e13157–e13157. 10 indexed citations
7.
Zhong, Suyu, Zaixu Cui, Jiaqi Li, et al.. (2018). The lateralized arcuate fasciculus in developmental pitch disorders among mandarin amusics: left for speech and right for music. Brain Structure and Function. 223(4). 2013–2024. 19 indexed citations
8.
Tang, Wei, et al.. (2016). Musical experience facilitates lexical tone processing among Mandarin speakers: Behavioral and neural evidence. Neuropsychologia. 91. 247–253. 36 indexed citations
9.
Zhong, Suyu, et al.. (2016). Abnormal topological organization of the white matter network in Mandarin speakers with congenital amusia. Scientific Reports. 6(1). 26505–26505. 13 indexed citations
10.
Nan, Yun, et al.. (2015). Subgroup differences in the lexical tone mismatch negativity (MMN) among Mandarin speakers with congenital amusia. Biological Psychology. 113. 59–67. 19 indexed citations
11.
Nan, Yun, Erika Skoe, Trent Nicol, & Nina Kraus. (2015). Auditory brainstem's sensitivity to human voices. International Journal of Psychophysiology. 95(3). 333–337. 2 indexed citations
12.
Feng, Jie, et al.. (2014). Perceptual pitch deficits coexist with pitch production difficulties in music but not Mandarin speech. Frontiers in Psychology. 4. 1024–1024. 16 indexed citations
13.
Peretz, Isabelle, et al.. (2013). A novel tool for evaluating children's musical abilities across age and culture. Frontiers in Systems Neuroscience. 7. 30–30. 80 indexed citations
14.
Nan, Yun & Angela D. Friederici. (2012). Differential roles of right temporal cortex and broca's area in pitch processing: Evidence from music and mandarin. Human Brain Mapping. 34(9). 2045–2054. 39 indexed citations
15.
Nan, Yun, Yanan Sun, & Isabelle Peretz. (2010). Congenital amusia in speakers of a tone language: association with lexical tone agnosia. Brain. 133(9). 2635–2642. 130 indexed citations
16.
Nan, Yun, Thomas R. Knösche, & Angela D. Friederici. (2009). Non-musicians’ perception of phrase boundaries in music: A cross-cultural ERP study. Biological Psychology. 82(1). 70–81. 24 indexed citations
17.
Nan, Yun, Angela D. Friederici, Hua Shu, & Yuejia Luo. (2009). Dissociable pitch processing mechanisms in lexical and melodic contexts revealed by ERPs. Brain Research. 1263. 104–113. 13 indexed citations
18.
Nan, Yun, Thomas R. Knösche, Stefan Zysset, & Angela D. Friederici. (2007). Cross‐cultural music phrase processing: An fMRI study. Human Brain Mapping. 29(3). 312–328. 57 indexed citations
19.
Nan, Yun, Thomas R. Knösche, & Angela D. Friederici. (2006). The perception of musical phrase structure: A cross-cultural ERP study. Brain Research. 1094(1). 179–191. 62 indexed citations
20.
Luo, Yuejia, Yun Nan, & Hong Li. (2004). Difference of Neural Correlates between Subitizing and Counting Reflected by ERPs. Acta Psychologica Sinica. 36(4). 434–441. 3 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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