Meiling Tong

1.4k total citations
51 papers, 1.1k citations indexed

About

Meiling Tong is a scholar working on Molecular Biology, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Meiling Tong has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Psychiatry and Mental health and 9 papers in Physiology. Recurrent topics in Meiling Tong's work include Attention Deficit Hyperactivity Disorder (7 papers), Adipose Tissue and Metabolism (7 papers) and MicroRNA in disease regulation (5 papers). Meiling Tong is often cited by papers focused on Attention Deficit Hyperactivity Disorder (7 papers), Adipose Tissue and Metabolism (7 papers) and MicroRNA in disease regulation (5 papers). Meiling Tong collaborates with scholars based in China, Australia and Hong Kong. Meiling Tong's co-authors include Xirong Guo, Xia Chi, Chenbo Ji, Xiaohong Chen, Qin Hong, Yaping Zhao, Chunlin Gao, Jingai Zhu, Lei Yang and Yuhui Ni and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Meiling Tong

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Tong China 16 454 279 182 178 104 51 1.1k
Ayman M. Arafat Germany 25 502 1.1× 669 2.4× 290 1.6× 60 0.3× 109 1.0× 52 2.2k
Adrian Stankiewicz Poland 17 368 0.8× 329 1.2× 155 0.9× 60 0.3× 52 0.5× 43 1.3k
Shiping Li China 18 281 0.6× 173 0.6× 94 0.5× 40 0.2× 106 1.0× 41 872
Ann Zenobia Moore United States 15 630 1.4× 585 2.1× 70 0.4× 44 0.2× 42 0.4× 40 1.4k
Yuan Fang China 16 488 1.1× 92 0.3× 136 0.7× 39 0.2× 133 1.3× 63 1.4k
Sheng Chen Canada 19 527 1.2× 189 0.7× 54 0.3× 81 0.5× 91 0.9× 67 1.1k
Leandro Slipczuk United States 17 508 1.1× 160 0.6× 385 2.1× 82 0.5× 439 4.2× 108 2.1k
Dongming Zheng China 18 204 0.4× 154 0.6× 92 0.5× 90 0.5× 223 2.1× 56 1.0k
Melanie D. Klok Netherlands 12 544 1.2× 492 1.8× 224 1.2× 48 0.3× 54 0.5× 12 2.1k
Yuguang Guan China 18 423 0.9× 297 1.1× 278 1.5× 36 0.2× 169 1.6× 95 1.4k

Countries citing papers authored by Meiling Tong

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Tong. A scholar is included among the top collaborators of Meiling Tong 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 Meiling Tong. Meiling Tong 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.
Lu, Yan & Meiling Tong. (2024). Impact of red and blue monochromatic light on the visual system and dopamine pathways in juvenile zebrafish. BMC Ophthalmology. 24(1). 475–475. 1 indexed citations
2.
Pan, Jingjing, Meiling Tong, Jing Wang, et al.. (2023). Dose pulmonary hemorrhage increase the risk of bronchopulmonary dysplasia in very low birth weight infants?. The Journal of Maternal-Fetal & Neonatal Medicine. 36(1). 2206941–2206941. 3 indexed citations
3.
Wu, Di, Jiansheng Zhu, Lianghui You, et al.. (2023). NRXN1 depletion in the medial prefrontal cortex induces anxiety-like behaviors and abnormal social phenotypes along with impaired neurite outgrowth in rat. Journal of Neurodevelopmental Disorders. 15(1). 6–6. 9 indexed citations
4.
Yang, Yang, et al.. (2022). The localization and improvement of the Functional Status Scale and the reliability and validity in very low birth weight infants. Journal of Zhejiang University (Medical Sciences). 51(5). 603–612.
5.
Wu, Xiaolu, Ran Li, Feng Liu, et al.. (2022). Identification of key genes and pathways between mild-moderate and severe asthmatics via bioinformatics analysis. Scientific Reports. 12(1). 2549–2549. 8 indexed citations
6.
Zhang, Sufen, Di Wu, Lianghui You, et al.. (2021). The protective effect and potential mechanism of NRXN1 on learning and memory in ADHD rat models. Experimental Neurology. 344. 113806–113806. 14 indexed citations
7.
Zhang, Yaqin, Hui Li, Hua‐Hong Wu, et al.. (2020). [Survey on the stunting of children under seven years of age in nine cities of China].. PubMed. 58(3). 194–200. 2 indexed citations
9.
Li, Jingyun, et al.. (2020). MicroRNA-375 overexpression disrupts cardiac development of Zebrafish (Danio rerio) by targeting notch2. PROTOPLASMA. 257(5). 1309–1318. 13 indexed citations
10.
Wen, Juan, Jing Wang, Wei Yan, et al.. (2020). Hand anthropometry and its relation to grip/pinch strength in children aged 5 to 13 years. Journal of International Medical Research. 48(12). 1220770320–1220770320. 8 indexed citations
11.
Zhang, Qingyu, Ranran Tang, Jing Wang, et al.. (2020). Effects of Aberrant miR-384-5p Expression on Learning and Memory in a Rat Model of Attention Deficit Hyperactivity Disorder. Frontiers in Neurology. 10. 1414–1414. 10 indexed citations
12.
Shi, Chunmei, Nan Li, Jing Dong, et al.. (2017). Association between maternal nonresponsive feeding practice and child’s eating behavior and weight status: children aged 1 to 6 years. European Journal of Pediatrics. 176(12). 1603–1612. 11 indexed citations
13.
Shi, Chunmei, et al.. (2016). Prevalence of children's eating problems among 1 to 7 years old and its correlation with their physical development. Zhonghua shiyong erke linchuang zazhi. 31(11). 840–845.
14.
Shi, Chunmei, Meiling Tong, Min Zhang, et al.. (2016). Developmental Eye Movement (DEM) Test Norms for Mandarin Chinese-Speaking Chinese Children. PLoS ONE. 11(2). e0148481–e0148481. 14 indexed citations
15.
Zhang, Xin, Qin Hong, Lei Yang, et al.. (2015). PCB1254 exposure contributes to the abnormalities of optomotor responses and influence of the photoreceptor cell development in zebrafish larvae. Ecotoxicology and Environmental Safety. 118. 133–138. 26 indexed citations
16.
Shi, Chunmei, Min Zhang, Meiling Tong, et al.. (2015). miR-148a is Associated with Obesity and Modulates Adipocyte Differentiation of Mesenchymal Stem Cells through Wnt Signaling. Scientific Reports. 5(1). 9930–9930. 147 indexed citations
17.
Wu, Tianqi, Chunxiao Chen, Lei Yang, et al.. (2015). Distinct lncRNA expression profiles in the prefrontal cortex of SD rats after exposure to methylphenidate. Biomedicine & Pharmacotherapy. 70. 239–247. 14 indexed citations
18.
Yang, Lei, Min Zhang, Mei Guo, et al.. (2013). Increased Locomotor Activity and Non-Selective Attention and Impaired Learning Ability in SD Rats after Lentiviral Vector-Mediated RNA Interference of Homer 1a in the Brain. International Journal of Medical Sciences. 10(1). 90–102. 11 indexed citations
19.
Chen, Xiaohong, Yaping Zhao, Mei Xue, et al.. (2010). TNF-α induces mitochondrial dysfunction in 3T3-L1 adipocytes. Molecular and Cellular Endocrinology. 328(1-2). 63–69. 94 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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