Qinglong Ai

459 citations
7 papers · 372 · h-index 6

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Biological and pharmacological studies of plants

Papers in

    • Biological and pharmacological studies of plants 5
    • Neuroinflammation and Neurodegeneration Mechanisms 4
    • Neurological Disease Mechanisms and Treatments 3
    • Parkinson's Disease Mechanisms and Treatments 1

Qinglong Ai

7 papers receiving 369 citations

Peers

Qinglong Ai
Comparison fields: 5 of 67
  • Neurology 126
  • Pharmacology 151
  • Complementary and alternative medicine 49
  • Biological Psychiatry 11
  • Developmental Neuroscience 10
Replace Ligong Bian with:
Ligong Bian China
Bingtian Xu China
Rebekka Wittrahm Finland
Da‐Peng Wang China
Qiaoyun Wu China
Yukun Lin China
Silvia Vela Spain
Jong-Seok Lee South Korea
Qin-yong Ye China
Qinglong Ai relative to Ligong Bian China Ligong Bian's profile →
Citations per field
00.5×1.5×
Ligong Bian · 1×
Citations per year

Countries citing papers authored by Qinglong Ai

Since Specialization
Citations

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

Fields of papers citing papers by Qinglong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Qinglong Ai, 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 Qinglong Ai Line = papers co-authored together Qinglong Ai links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2011196
2 201950
3 201948
4 201937
5 202129
6 201311
7 20221

About Qinglong Ai

Qinglong Ai is a scholar working on Pharmacology, Neurology, Cellular and Molecular Neuroscience, Neurology and Rheumatology, having authored 7 papers that have together received 372 indexed citations. Recurring topics across this work include Biological and pharmacological studies of plants (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Folate and B Vitamins Research (1 paper), Neurological Complications and Syndromes (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Nuclear Receptors and Signaling (1 paper) and Traditional Chinese Medicine Analysis (1 paper). The work is most often cited by research in Neurology (126 citations), Pharmacology (151 citations), Complementary and alternative medicine (49 citations), Biological Psychiatry (11 citations) and Developmental Neuroscience (10 citations). Qinglong Ai has collaborated with scholars based in China and Australia. Frequent co-authors include Lianmei Zhong, Di Lü, Ligong Bian, Yidan Liu, Yuemin Li, Yi Zong, Jun Sun, Wei Zhang, Run Li and Shipeng Li. Their work appears in journals such as NeuroMolecular Medicine, Brain Research, Gene, PLoS ONE and World Journal of Clinical Cases.

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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