Chun‐Ling Dai

2.3k total citations
51 papers, 1.9k citations indexed

About

Chun‐Ling Dai is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chun‐Ling Dai has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Physiology, 19 papers in Molecular Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chun‐Ling Dai's work include Alzheimer's disease research and treatments (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Chun‐Ling Dai is often cited by papers focused on Alzheimer's disease research and treatments (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Chun‐Ling Dai collaborates with scholars based in United States, China and Canada. Chun‐Ling Dai's co-authors include Khalid Iqbal, Cheng‐Xin Gong, Fei Liu, Yanxing Chen, Zhihou Liang, Inge Grundke‐Iqbal, Yunn Chyn Tung, Julie Blanchard, Jin‐Hua Gu and Zhe‐Sheng Chen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Chun‐Ling Dai

49 papers receiving 1.8k citations

Peers

Chun‐Ling Dai
Comparison fields: 5 of 99
  • Physiology 890
  • Molecular Biology 741
  • Neurology 452
  • Cellular and Molecular Neuroscience 335
  • Pharmacology 237
Replace Zhihou Liang with:
Zhihou Liang China
François Mouton‐Liger France
Yuemang Yao United States
Ying Peng China
Weiming Luo United States
Faraj Terro France
Guylène Page France
Hao Hong China
Antonietta Bernardo Italy
Grzegorz A. Czapski Poland
Zhihou Liang China View profile →
Citations per field, relative to Chun‐Ling Dai
Chun‐Ling Dai · 1×
Citations per year, relative to Chun‐Ling Dai
Chun‐Ling Dai · 1×

Countries citing papers authored by Chun‐Ling Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Ling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Ling Dai. 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 Chun‐Ling Dai. The network helps show where Chun‐Ling Dai may publish in the future.

Co-authorship network of co-authors of Chun‐Ling Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Ling Dai. A scholar is included among the top collaborators of Chun‐Ling Dai 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 Chun‐Ling Dai. Chun‐Ling Dai 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
# Work Indexed citations
1 1
2 3
3 3
4 60
5 3
6 3
7 15
8 20
9 39
10 8
11 31
12 21
13 0
14 21
15 34
16 15
17 64
18 102
19 87
20 165

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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2026