Liling Dong

417 citations
34 papers · 146 indexed · h-index 7

Impact in

    • Amyotrophic Lateral Sclerosis Research
    • Neurological Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Dementia and Cognitive Impairment Research

Papers in

Liling Dong

29 papers receiving 144 citations

Peers

Liling Dong
Comparison fields: 5 of 56
  • Neurology 24
  • Psychiatry and Mental health 38
  • Neurology 34
  • Health Informatics 3
  • Physiology 48
Replace Danhong Wu with:
Danhong Wu China
Yuhan Qiu China
Cristina Íñiguez Spain
Barbara J. Snider United States
Davood Kashipazha Iran
Raphaël De Paz France
Samuel Touchard United Kingdom
Edwin Jabbari United Kingdom
Mitchell D. Kilgore United States
Didem Ardıçlı Türkiye
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Citations per field
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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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200822
2 202217
3 20229
4 20218
5 20217
6 20207
7 20236
8 20216
9 20226
10 20236
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 20205
13 20215
14 20235
15 20214
16 20214
17 20223
18 20213
19 20243
20 20232

About Liling Dong

Liling Dong is a scholar working on Psychiatry and Mental health, Neurology, Physiology, Health Information Management and Biological Psychiatry, having authored 34 papers that have together received 146 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (12 papers), Functional Brain Connectivity Studies (4 papers), Medical Imaging Techniques and Applications (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Epilepsy research and treatment (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Neurology (24 citations), Psychiatry and Mental health (38 citations), Neurology (34 citations), Health Informatics (3 citations) and Physiology (48 citations). Liling Dong has collaborated with scholars based in China and United States. Frequent co-authors include Jing Gao, Caiyan Liu, Chenhui Mao, Jie Li, Shanshan Chu, Liying Cui, Dan Lei, Bin Peng, Chi Ma and Zhun Wang. Their work appears in journals such as Journal of Alzheimer s Disease, Current Alzheimer Research, Clinical Neurology and Neurosurgery, Journal of Molecular Neuroscience and EJNMMI Physics.

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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