Ranran Song

3.2k total citations · 1 hit paper
81 papers, 2.2k citations indexed

About

Ranran Song is a scholar working on Developmental and Educational Psychology, Genetics and Clinical Psychology. According to data from OpenAlex, Ranran Song has authored 81 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Developmental and Educational Psychology, 18 papers in Genetics and 12 papers in Clinical Psychology. Recurrent topics in Ranran Song's work include Reading and Literacy Development (19 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Ranran Song is often cited by papers focused on Reading and Literacy Development (19 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Cognitive and developmental aspects of mathematical skills (10 papers). Ranran Song collaborates with scholars based in China, United States and United Kingdom. Ranran Song's co-authors include Jiajia Zhang, Xinyan Xie, Kaiheng Zhu, Yu Zhou, Qi Xue, Qi Liu, Lingfei Liu, Xiu Luo, Qi Liu and Fang Hou and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Ranran Song

73 papers receiving 2.2k citations

Hit Papers

Mental Health Status Among Children in Home Confinement D... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranran Song China 24 870 289 271 247 231 81 2.2k
Caroline Brett United Kingdom 23 358 0.4× 141 0.5× 137 0.5× 239 1.0× 100 0.4× 69 2.1k
Josefa Canals Spain 29 1.1k 1.2× 251 0.9× 118 0.4× 170 0.7× 225 1.0× 155 2.8k
Bih‐Ching Shu Taiwan 25 864 1.0× 141 0.5× 109 0.4× 182 0.7× 86 0.4× 96 2.0k
Gabriele Eiben Sweden 35 545 0.6× 212 0.7× 286 1.1× 105 0.4× 79 0.3× 119 3.5k
Suzanne H. Gage United Kingdom 28 698 0.8× 141 0.5× 54 0.2× 434 1.8× 125 0.5× 64 2.5k
Rebecca G. Smith United Kingdom 27 481 0.6× 224 0.8× 176 0.6× 309 1.3× 1.2k 5.2× 61 4.0k
Jong Yeob Kim South Korea 16 1.1k 1.3× 169 0.6× 39 0.1× 397 1.6× 216 0.9× 49 3.1k
Xinyan Xie China 18 836 1.0× 213 0.7× 78 0.3× 232 0.9× 92 0.4× 68 1.6k
May Yang United States 30 832 1.0× 70 0.2× 239 0.9× 127 0.5× 128 0.6× 45 3.0k
Gerald F. Giesbrecht Canada 33 1.6k 1.9× 263 0.9× 192 0.7× 552 2.2× 153 0.7× 144 3.9k

Countries citing papers authored by Ranran Song

Since Specialization
Citations

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

Fields of papers citing papers by Ranran Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranran Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ranran Song. A scholar is included among the top collaborators of Ranran Song 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 Ranran Song. Ranran Song 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.
Feng, Yanan, Yanjian Wan, Haoxue Wang, et al.. (2024). Dyslexia is associated with urinary polycyclic aromatic hydrocarbon metabolite concentrations of children from China: Data from the READ program. Environmental Pollution. 346. 123538–123538. 2 indexed citations
2.
Xiao, Pei, Kaiheng Zhu, Yanan Feng, et al.. (2023). Associations between dyslexia and children's mental health: Findings from a follow-up study in China. Psychiatry Research. 324. 115188–115188. 6 indexed citations
3.
Wang, Haoxue, Yanjian Wan, Qi Liu, et al.. (2023). Association between urinary 2-hydroxyethyl mercapturic acid and dyslexia among school-aged children. Environmental Science and Pollution Research. 30(45). 101091–101098. 1 indexed citations
4.
5.
Jiang, Qi, Xiaomin Luo, Zhen Xiang, et al.. (2023). Exposure to ambient air pollution with depressive symptoms and anxiety symptoms among adolescents: A national population-based study in China. Journal of Psychiatric Research. 164. 1–7. 10 indexed citations
6.
Zhu, Kaiheng, Qi Liu, Xinyan Xie, et al.. (2022). Interaction between manganese and SLC6A3 genetic polymorphisms in relation to dyslexia. NeuroToxicology. 92. 102–109. 6 indexed citations
7.
Xie, Xinyan, Yanjian Wan, Bing Zhu, et al.. (2021). Association between urinary dialkylphosphate metabolites and dyslexia among children from three cities of China: The READ program. The Science of The Total Environment. 814. 151852–151852. 12 indexed citations
8.
Xue, Qi, Yu Zhou, Huaiting Gu, et al.. (2020). Urine metals concentrations and dyslexia among children in China. Environment International. 139. 105707–105707. 30 indexed citations
9.
Liu, Qi, Yu Zhou, Xinyan Xie, et al.. (2020). The prevalence of behavioral problems among school-aged children in home quarantine during the COVID-19 pandemic in china. Journal of Affective Disorders. 279. 412–416. 112 indexed citations
10.
Liu, Pulin, Ranran Song, Yao Zhang, et al.. (2018). Educational and Behavioral Counseling in a Methadone Maintenance Treatment Program in China: A Randomized Controlled Trial. Frontiers in Psychiatry. 9. 113–113. 8 indexed citations
11.
Luo, Xiu, Lingfei Liu, Huaiting Gu, et al.. (2018). Pathways linking socioeconomic status to small-for-gestational-age (SGA) infants among primiparae: a birth cohort study in China. BMJ Open. 8(6). e020694–e020694. 14 indexed citations
13.
Pan, Xinyun, Jie Hu, Wei Xia, et al.. (2017). Prenatal chromium exposure and risk of preterm birth: a cohort study in Hubei, China. Scientific Reports. 7(1). 3048–3048. 39 indexed citations
14.
Luo, Xiu, Rui Kong, Shanshan Shao, et al.. (2016). Polymorphisms of S100B Gene in Children with Developmental Dyslexia in China. 45(4). 397. 1 indexed citations
15.
Li, Qi, et al.. (2016). Status and Advances of Abandoned Process of Wells for CO2 Geological Storage. Diqiu kexue jinzhan. 31(3). 225–235. 2 indexed citations
16.
Kong, Rui, Shanshan Shao, Jia Wang, et al.. (2015). Genetic variant in DIP2A gene is associated with developmental dyslexia in Chinese population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(2). 203–208. 32 indexed citations
17.
Chen, Qian, Hui Wang, Ying Wu, et al.. (2015). Establishment of a dual-color fluorescence tracing orthotopic transplantation model of hepatocellular carcinoma. Molecular Medicine Reports. 13(1). 762–768. 6 indexed citations
19.
Han, Wei, Yuling Zhou, Rong Zhong, et al.. (2013). Functional Polymorphisms in FAS/FASL System Increase the Risk of Neuroblastoma in Chinese Population. PLoS ONE. 8(8). e71656–e71656. 27 indexed citations
20.
Wang, Zhenling, Li Zou, Rong Zhong, et al.. (2013). Associations between Two Genetic Variants in NKX2-5 and Risk of Congenital Heart Disease in Chinese Population: A Meta-Analysis. PLoS ONE. 8(8). e70979–e70979. 15 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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