Liling Dong

435 citations
33 papers · 159 · h-index 8

Impact in

Papers in

Liling Dong

30 papers receiving 156 citations

Peers

Liling Dong
Comparison fields: 5 of 49
  • Psychiatry and Mental health 29
  • Neurology 26
  • Neurology 13
  • Health Informatics 2
  • Physiology 34
Replace Danhong Wu with:
Danhong Wu China
Alexandria Lewis United States
Yuhan Qiu China
Tamás Biernacki Hungary
Davood Kashipazha Iran
Xianbo Zhuang China
Takao Seki Japan
Yahya B Atalay United States
Silvia Messina Italy
Mitchell D. Kilgore United States
Liling Dong relative to Danhong Wu China Danhong Wu's profile →
Citations per field
00.5×1.5×2.4×
Danhong Wu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Liling Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liling Dong Line = papers co-authored together Liling Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200823
2 202220
3 202210
4 20238
5 20218
6 20218
7 20217
8 20237
9 20207
10 20226
11
A Brief Study of the Correlation of Urine D-ribose with MMSE Scores of Patients with Alzheimer’s Disease and Cognitively Normal Participants
20196
12 20215
13 20205
14 20215
15 20235
16 20214
17 20214
18 20243
19 20223
20 20242

About Liling Dong

Liling Dong is a scholar working on Psychiatry and Mental health, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 33 papers that have together received 159 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (4 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), EEG and Brain-Computer Interfaces (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Psychiatry and Mental health (29 citations), Neurology (26 citations), Neurology (13 citations), Health Informatics (2 citations) and Physiology (34 citations). Liling Dong has collaborated with scholars based in China and United States. Frequent co-authors include Chenhui Mao, Jing Gao, Caiyan Liu, Jie Li, Shanshan Chu, Bin Peng, Dan Lei, Liying Cui, Xueyan Xi and Chi Ma. Their work appears in journals such as Journal of Alzheimer s Disease, Clinical Neurology and Neurosurgery, Current Alzheimer Research, Journal of Molecular Neuroscience and Journal of Personalized Medicine.

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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