Dandan Tan

770 total citations
42 papers, 421 citations indexed

About

Dandan Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Dandan Tan has authored 42 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Dandan Tan's work include Muscle Physiology and Disorders (9 papers), Nerve injury and regeneration (9 papers) and RNA Research and Splicing (9 papers). Dandan Tan is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Nerve injury and regeneration (9 papers) and RNA Research and Splicing (9 papers). Dandan Tan collaborates with scholars based in China, United States and Japan. Dandan Tan's co-authors include Jiasong Guo, Xianghai Wang, Mengjie Pan, Lixia Li, Jin‐Kun Wen, Xiaofang Hu, Haowen Zhang, Hui Xiong, Xingzhi Chang and Xiru Wu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Dandan Tan

39 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dandan Tan China 13 202 161 51 40 37 42 421
Doris Lang Switzerland 11 261 1.3× 118 0.7× 53 1.0× 23 0.6× 24 0.6× 18 614
Elizabeth Harford‐Wright Australia 12 248 1.2× 145 0.9× 17 0.3× 22 0.6× 57 1.5× 20 494
Elena Pompili Italy 15 158 0.8× 81 0.5× 25 0.5× 23 0.6× 17 0.5× 39 524
Micaela Pannella Italy 13 166 0.8× 54 0.3× 9 0.2× 35 0.9× 23 0.6× 26 499
Ethel Derr‐Yellin United States 13 287 1.4× 168 1.0× 25 0.5× 13 0.3× 29 0.8× 23 798
Saema Ansar Sweden 17 205 1.0× 69 0.4× 28 0.5× 33 0.8× 10 0.3× 35 714
Katherine Clark United States 8 241 1.2× 108 0.7× 22 0.4× 10 0.3× 12 0.3× 12 356
Ronak Patel United States 13 179 0.9× 42 0.3× 32 0.6× 10 0.3× 19 0.5× 28 426
María Eugenia Mendoza‐Garrido Mexico 9 112 0.6× 61 0.4× 14 0.3× 23 0.6× 9 0.2× 24 322
Koichi Fujikawa Japan 13 174 0.9× 42 0.3× 17 0.3× 16 0.4× 28 0.8× 34 442

Countries citing papers authored by Dandan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Tan. A scholar is included among the top collaborators of Dandan Tan 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 Dandan Tan. Dandan Tan 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.
Pang, Lijun, Han Wang, Qinghua Han, et al.. (2025). Comprehensive Analysis of Uric Acid and Myasthenia Gravis: IGF1R as a Protective Factor and Potential Therapeutic Target. CNS Neuroscience & Therapeutics. 31(3). e70361–e70361.
2.
Tan, Dandan, Yidan Liu, Huaxia Luo, et al.. (2024). A novel mouse model for LAMA2-related muscular dystrophy with analysis of molecular pathogenesis and clinical phenotype. eLife. 13. 1 indexed citations
3.
Tan, Dandan, Kaiyue Ma, Huaxia Luo, et al.. (2024). Lama1 upregulation prolongs the lifespan of the dyH/dyH mouse model of LAMA2-related congenital muscular dystrophy. Journal of genetics and genomics. 51(10). 1066–1078. 2 indexed citations
4.
Xiong, Ying, et al.. (2024). Homozygous variant in COQ7 causes autosomal recessive hereditary spastic paraplegia. Annals of Clinical and Translational Neurology. 11(4). 1067–1074. 1 indexed citations
6.
Ma, Limin, Jinxian Yuan, Peng Zhang, et al.. (2024). GLS2 reduces the occurrence of epilepsy by affecting mitophagy function in mouse hippocampal neurons. CNS Neuroscience & Therapeutics. 30(10). e70036–e70036. 4 indexed citations
7.
Xu, Tao, Dandan Tan, You Wang, et al.. (2024). Targeted sonogenetic modulation of GABAergic interneurons in the hippocampal CA1 region in status epilepticus. Theranostics. 14(16). 6373–6391. 1 indexed citations
8.
Shen, Yu, Ying Xiong, Ziwei Song, et al.. (2024). Encephalitis-like episodes with cortical edema and enhancement in patients with neuronal intranuclear inclusion disease. Neurological Sciences. 45(9). 4501–4511. 2 indexed citations
9.
Tan, Dandan, et al.. (2023). Skin biopsy and neuronal intranuclear inclusion disease. The Journal of Dermatology. 50(11). 1367–1372. 1 indexed citations
10.
Huang, Xiuli, Dandan Tan, Zaiqiang Zhang, et al.. (2023). Unique genotype-phenotype correlations within LAMA2-related limb girdle muscular dystrophy in Chinese patients. Frontiers in Neurology. 14. 1158094–1158094. 3 indexed citations
11.
Wang, Jie, Dandan Tan, Ying Xiong, et al.. (2023). The serum IgG antibody level as a biomarker for clinical outcome in patients with cerebral sparganosis after treatment. Frontiers in Immunology. 14. 1158635–1158635. 2 indexed citations
12.
Ma, Limin, Jinxian Yuan, You Wang, et al.. (2023). Inhibition of ANXA2 activity attenuates epileptic susceptibility and GluA1 phosphorylation. CNS Neuroscience & Therapeutics. 29(11). 3644–3656. 6 indexed citations
13.
Wang, You, et al.. (2022). The Prevention and Reversal of a Phenytoin-Resistant Model by N-acetylcysteine Therapy Involves the Nrf2/P-Glycoprotein Pathway at the Blood–Brain Barrier. Journal of Molecular Neuroscience. 72(10). 2125–2135. 2 indexed citations
14.
Chen, Xiaoyu, Dandan Tan, Yidan Liu, et al.. (2021). Phenotype and Genotype Study of Chinese POMT2-Related α-Dystroglycanopathy. Frontiers in Genetics. 12. 692479–692479. 3 indexed citations
15.
Fan, Yanbin, Dandan Tan, Xu Zhang, et al.. (2020). Nuclear Factor-κB Pathway Mediates the Molecular Pathogenesis of LMNA-Related Muscular Dystrophies. Biochemical Genetics. 58(6). 966–980. 5 indexed citations
16.
Li, Lixia, Yuanyuan Li, Xianghai Wang, et al.. (2019). Ascorbic Acid Facilitates Neural Regeneration After Sciatic Nerve Crush Injury. Frontiers in Cellular Neuroscience. 13. 108–108. 48 indexed citations
17.
Li, Jianlong, et al.. (2018). Spatial Distribution and Biogeochemical Cycling of Dimethylated Sulfur Compounds and Methane in the East China Sea During Spring. Journal of Geophysical Research Oceans. 124(2). 1074–1090. 19 indexed citations
18.
Lin, Ge, Aijie Liu, Kai Gao, et al.. (2018). Deletion of exon 4 in LAMA2 is the most frequent mutation in Chinese patients with laminin α2-related muscular dystrophy. Scientific Reports. 8(1). 14989–14989. 14 indexed citations
19.
Liu, Qi, Wei‐Wei Ni, Zhen Li, et al.. (2018). Resolution and evaluation of 3-chlorophenyl-3-hydroxypropionylhydroxamic acid as antivirulence agent with excellent eradication efficacy in Helicobacter pylori infected mice. European Journal of Pharmaceutical Sciences. 121. 293–300. 11 indexed citations
20.
Tan, Dandan, et al.. (2017). The regulation of GSK‐3β in nervous system. 3(3). 39–45. 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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