Hua Shu

15.4k total citations
265 papers, 10.8k citations indexed

About

Hua Shu is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Hua Shu has authored 265 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Developmental and Educational Psychology, 126 papers in Cognitive Neuroscience and 57 papers in Experimental and Cognitive Psychology. Recurrent topics in Hua Shu's work include Reading and Literacy Development (165 papers), Neurobiology of Language and Bilingualism (82 papers) and Language Development and Disorders (57 papers). Hua Shu is often cited by papers focused on Reading and Literacy Development (165 papers), Neurobiology of Language and Bilingualism (82 papers) and Language Development and Disorders (57 papers). Hua Shu collaborates with scholars based in China, United States and Hong Kong. Hua Shu's co-authors include Catherine McBride‐Chang, Richard C. Anderson, Hongyun Liu, Ping Li, Hong Li, Youyi Liu, Richard K. Wagner, Ningning Wu, Ming Yan and Hong Peng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hua Shu

250 papers receiving 10.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Shu China 57 8.6k 5.3k 2.8k 2.7k 1.7k 265 10.8k
Kathleen Rastle United Kingdom 41 7.7k 0.9× 6.4k 1.2× 1.4k 0.5× 1.4k 0.5× 1.9k 1.1× 113 9.5k
Kate Nation United Kingdom 54 8.2k 0.9× 4.4k 0.8× 2.0k 0.7× 3.0k 1.1× 681 0.4× 137 9.8k
Usha Goswami United Kingdom 72 14.3k 1.7× 9.5k 1.8× 4.7k 1.7× 4.2k 1.6× 2.5k 1.5× 228 18.0k
Ludo Verhoeven Netherlands 54 7.8k 0.9× 2.8k 0.5× 1.7k 0.6× 3.7k 1.4× 1.1k 0.7× 411 10.9k
Franck Ramus France 46 5.7k 0.7× 4.5k 0.8× 2.1k 0.8× 919 0.3× 1.9k 1.1× 124 8.7k
Rebecca Treiman United States 61 10.4k 1.2× 4.1k 0.8× 1.9k 0.7× 4.7k 1.8× 2.8k 1.6× 225 12.8k
Ram Frost Israel 47 5.6k 0.7× 4.6k 0.9× 1.2k 0.4× 664 0.3× 1.5k 0.9× 106 7.5k
Manuel Perea Spain 52 7.2k 0.8× 6.7k 1.3× 1.3k 0.5× 676 0.3× 2.5k 1.5× 306 9.5k
Donald Shankweiler United States 55 9.7k 1.1× 8.0k 1.5× 2.9k 1.0× 2.2k 0.8× 4.5k 2.6× 128 15.2k
Manuel Carreiras Spain 63 9.4k 1.1× 10.2k 1.9× 1.1k 0.4× 726 0.3× 3.3k 1.9× 327 13.4k

Countries citing papers authored by Hua Shu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Shu. A scholar is included among the top collaborators of Hua Shu 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 Hua Shu. Hua Shu 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.
2.
Lu, Fang, Shuisheng Hou, Chang Liu, et al.. (2025). Clinical significance of focal segmental glomerulosclerosis subclassification in IgA nephropathy. Nephrology Dialysis Transplantation. 41(2). 297–308. 1 indexed citations
3.
Zhang, Xianglin, George K. Georgiou, Tomohiro Inoue, et al.. (2025). The relation between family factors and children’s vocabulary knowledge: a comparative study of rural and urban preschoolers in China. Journal of Child Language. 53(1). 1–19.
4.
Inoue, Tomohiro, Suzhen Zhang, Mengmeng Su, et al.. (2025). Are parental influences on emergent literacy and word reading skills the same across socioeconomic contexts? A multisite study in China.. Journal of Educational Psychology. 117(4). 603–625. 1 indexed citations
5.
Li, Peng, et al.. (2024). Case Report: Fetomaternal hemorrhage and its association with pronounced neonatal anemia. Frontiers in Pediatrics. 12. 1423786–1423786.
6.
Shao, Jian-Li, et al.. (2024). Microstructural and mechanical analysis on the shock-induced spalling with structural transformation in single crystal iron: Atomistic simulations. Materials Today Communications. 39. 109291–109291. 2 indexed citations
7.
Zhu, Wenqing, Zhi Li, Hua Shu, Huajian Gao, & Xiaoding Wei. (2024). Amorphous alloys surpass E/10 strength limit at extreme strain rates. Nature Communications. 15(1). 1717–1717. 14 indexed citations
8.
Hou, Jing, et al.. (2024). The role and mechanism of AMPK in pulmonary hypertension. Therapeutic Advances in Respiratory Disease. 18. 2693851318–2693851318. 2 indexed citations
9.
Zhang, Yajing, Fei Feng, Mengmeng Hu, et al.. (2024). The determination of the optimal threshold on measurement of thyroid volume using quantitative SPECT/CT for Graves' hyperthyroidism. EJNMMI Physics. 11(1). 4–4. 1 indexed citations
10.
Xia, Zhichao, Fumiko Hoeft, Hong Liu, et al.. (2022). Neurofunctional basis underlying audiovisual integration of print and speech sound in Chinese children. European Journal of Neuroscience. 55(3). 806–826. 6 indexed citations
11.
Wang, Zhengjun, Qing Yang, Chen Cheng, et al.. (2022). A genome‐wide association study identifies a new variant associated with word reading fluency in Chinese children. Genes Brain & Behavior. 22(1). e12833–e12833. 8 indexed citations
12.
13.
Zhang, Suzhen, Tomohiro Inoue, Hua Shu, & George K. Georgiou. (2019). How does home literacy environment influence reading comprehension in Chinese? Evidence from a 3-year longitudinal study. Reading and Writing. 33(7). 1745–1767. 71 indexed citations
14.
Zhang, Suzhen, George K. Georgiou, & Hua Shu. (2019). What aspects of the home literacy environment differentiate Chinese children at risk for reading difficulties from their not at risk controls?. ΙΝΣΤΙΤΟΥΤΟ ΙΣΤΟΡΙΚΩΝ ΕΡΕΥΝΩΝ (National Hellenic Research Foundation). 7(1). 1–1. 5 indexed citations
15.
Sun, Xiaochen, Shuang Song, Xinyu Liang, et al.. (2017). ROBO1 polymorphisms, callosal connectivity, and reading skills. Human Brain Mapping. 38(5). 2616–2626. 13 indexed citations
16.
Zhang, Suzhen, et al.. (2017). Different Measures of Print Exposure Predict Different Aspects of Vocabulary. Reading Research Quarterly. 53(4). 443–454. 17 indexed citations
17.
Shu, Hua. (2008). Regularity,Phonological Awareness and Semantic Influence on Chinese Dyslexics' Reading Performance. Zhongguo teshu jiaoyu.
18.
Shu, Hua. (2004). The Heterogeneity of Chinese Developmental Dyslexia. Xinli fazhan yu jiaoyu. 8 indexed citations
19.
Zhou, Xiaolin, et al.. (2004). Constraints of Lexical Tone on Semantic Activation in Chinese Spoken Word Recognition. Acta Psychologica Sinica. 36(4). 379–392. 12 indexed citations
20.
Shu, Hua. (2004). A Study of Display Efficiency of Mobile User Interface Design. 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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