Liling Dong

417 total citations
34 papers, 146 citations indexed

About

Liling Dong is a scholar working on Psychiatry and Mental health, Physiology and Neurology. According to data from OpenAlex, Liling Dong has authored 34 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 13 papers in Physiology and 9 papers in Neurology. Recurrent topics in Liling Dong's work include Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (12 papers) and Functional Brain Connectivity Studies (4 papers). Liling Dong is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (12 papers) and Functional Brain Connectivity Studies (4 papers). Liling Dong collaborates with scholars based in China and United States. Liling Dong's co-authors include Jing Gao, Caiyan Liu, Chenhui Mao, Jie Li, Shanshan Chu, Liying Cui, Dan Lei, Bin Peng, Lianxian Cui and Wei He and has published in prestigious journals such as NeuroImage, Scientific Reports and Journal of Medical Genetics.

In The Last Decade

Liling Dong

29 papers receiving 144 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liling Dong China 7 48 38 34 24 22 34 146
Danhong Wu China 9 51 1.1× 21 0.6× 43 1.3× 39 1.6× 14 0.6× 29 234
Samuel Touchard United Kingdom 5 48 1.0× 34 0.9× 11 0.3× 60 2.5× 53 2.4× 6 185
Yuhan Qiu China 8 32 0.7× 36 0.9× 91 2.7× 36 1.5× 21 1.0× 17 221
Raphaël De Paz France 4 79 1.6× 100 2.6× 32 0.9× 24 1.0× 28 1.3× 5 192
Mitchell D. Kilgore United States 6 66 1.4× 34 0.9× 62 1.8× 30 1.3× 4 0.2× 15 156
Davood Kashipazha Iran 6 58 1.2× 88 2.3× 41 1.2× 10 0.4× 23 1.0× 23 205
G Savettieri Italy 6 29 0.6× 51 1.3× 14 0.4× 15 0.6× 39 1.8× 11 150
Toji Miyagawa Japan 6 81 1.7× 32 0.8× 43 1.3× 30 1.3× 3 0.1× 14 160
Alfonsina Tirozzi Italy 8 26 0.5× 19 0.5× 26 0.8× 10 0.4× 5 0.2× 15 189
Adeline Rollin‐Sillaire France 7 90 1.9× 34 0.9× 21 0.6× 103 4.3× 64 2.9× 9 236

Countries citing papers authored by Liling Dong

Since Specialization
Citations

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

Fields of papers citing papers by Liling Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liling Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Liling Dong. A scholar is included among the top collaborators of Liling Dong 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 Liling Dong. Liling Dong 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.
Huang, Ying, Bo Li, Chenhui Mao, et al.. (2025). Application of machine learning in EEG-based dementia diagnosis: Classification and differential diagnosis. Journal of Alzheimer s Disease. 108(1_suppl). S81–S93. 1 indexed citations
2.
Li, Yuying, Liling Dong, Qi Ge, et al.. (2025). The diagnostic performance of [18F]Florbetazine in Alzheimer’s disease: a head-to-head comparison to [11C]PiB and [18F]Florbetapir. European Journal of Nuclear Medicine and Molecular Imaging. 52(10). 3557–3566.
3.
Zhang, Haiqiong, Bo Li, Liling Dong, et al.. (2024). Ultra-fast [18F]florbetapir PET imaging using the uMI Panorama PET/CT system. EJNMMI Physics. 11(1). 107–107. 1 indexed citations
4.
Ren, Chao, Chenhui Mao, Liling Dong, et al.. (2024). Evaluation of a novel PET tracer [18F]-Florbetazine for Alzheimer's disease diagnosis and β-amyloid deposition quantification. NeuroImage. 298. 120779–120779. 2 indexed citations
5.
Dong, Liling, Caiyan Liu, Chenhui Mao, et al.. (2023). Genotypic and phenotypic heterogeneity among Chinese pediatric genetic white matter disorders. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 49(1). 155–155. 2 indexed citations
6.
Dong, Liling, Bo Hou, Caiyan Liu, et al.. (2023). Association Between Wnt Target Genes and Cortical Volumes in Alzheimer’s Disease. Journal of Molecular Neuroscience. 73(11-12). 1010–1016. 6 indexed citations
7.
Dong, Bowen, Zhuo Wang, Jiacheng Xu, et al.. (2023). Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure. Scientific Reports. 13(1). 12595–12595. 2 indexed citations
8.
Dong, Liling, Tianyi Wang, Jie Li, et al.. (2023). Association of APOE ε4/ε4 with fluid biomarkers in patients from the PUMCH dementia cohort. Frontiers in Aging Neuroscience. 15. 1119070–1119070. 6 indexed citations
9.
10.
Liu, Ning, Caiyan Liu, Chenhui Mao, et al.. (2022). Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores. Journal of Personalized Medicine. 12(1). 37–37. 17 indexed citations
11.
Mao, Chenhui, Jie Li, Jie Wang, et al.. (2022). Typical and atypical phenotype and neuroimaging of X-linked adrenoleukodystrophy in a Chinese cohort. Neurological Sciences. 43(5). 3255–3263. 3 indexed citations
12.
Dong, Liling, Jie Wang, Caiyan Liu, et al.. (2022). Genetic Spectrum and Clinical Heterogeneity of Chinese Frontotemporal Dementia Patients: Data from PUMCH Dementia Cohort. Journal of Alzheimer s Disease. 89(3). 893–901. 9 indexed citations
13.
Mao, Chenhui, Jie Li, Liling Dong, et al.. (2021). White matter hyperintensities and patterns of atrophy in early onset Alzheimer’s disease with causative gene mutations. Clinical Neurology and Neurosurgery. 203. 106552–106552. 7 indexed citations
14.
Li, Jie, Yong Fan, Bo Hou, et al.. (2021). A longitudinal observation of brain structure between AD and FTLD. Clinical Neurology and Neurosurgery. 205. 106604–106604. 4 indexed citations
15.
Liu, Caiyan, Liling Dong, Jie Li, et al.. (2021). A pilot study of multiple time points and multidomain assessment in cerebrospinal fluid tap test for patients with idiopathic normal pressure hydrocephalus. Clinical Neurology and Neurosurgery. 210. 107012–107012. 3 indexed citations
16.
Shu, Shi, Weibo Xia, Liling Dong, et al.. (2021). Case Report: Two Novel Frameshift Mutations in SLC20A2 and One Novel Splice Donor Mutation in PDGFB Associated With Primary Familial Brain Calcification. Frontiers in Genetics. 12. 643452–643452. 5 indexed citations
17.
Mao, Chenhui, Longze Sha, Caiyan Liu, et al.. (2020). Cerebrospinal Fluid Alzheimer’s Biomarkers and Neurofilament Light Profile of Idiopathic Normal Pressure Hydrocephalus in China: A PUMCH Cohort Study. Neurodegenerative Diseases. 20(5-6). 165–172. 5 indexed citations
18.
Dong, Liling, Qiang Lü, Yan Huang, & Xiangqin Zhou. (2016). Frontal Absence Seizures: Clinical and EEG Analysis of Four Cases. Chinese Medical Sciences Journal. 31(4). 254–257.
19.
Lu, Qiang, Hongzhi Guan, Haitao Ren, et al.. (2013). Analysis of three cases of anti-N-methyl-D-aspartate receptor encephalitis without tumor. Chin J Neurol. 46(5). 315–319. 1 indexed citations
20.
Cao, Wei, Xueyan Xi, Zhun Wang, et al.. (2008). Four novel ULBP splice variants are ligands for human NKG2D. International Immunology. 20(8). 981–991. 22 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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