Yi Ai

1.7k citations
54 papers · 1.2k · h-index 18

Impact in

Papers in

    • Nerve injury and regeneration 9
    • Neuroscience and Neural Engineering 4
    • Neuroscience and Neuropharmacology Research 4
    • Neurological disorders and treatments 14
    • Parkinson's Disease Mechanisms and Treatments 10

Yi Ai

50 papers receiving 1.1k citations

Peers

Yi Ai
Comparison fields: 5 of 110
  • Developmental Neuroscience 140
  • Cellular and Molecular Neuroscience 592
  • Neurology 317
  • Cognitive Neuroscience 135
  • Neurology 55
Replace YuHong Fu with:
YuHong Fu Australia
Liliane Tenenbaum Belgium
Luísa Cortes Portugal
Josette Cadusseau France
P. J. S. Vig United States
Ben Yang China
Ravi Tolwani United States
Adrian Cuda Banda Meedeniya Australia
Stephen A. Schnell United States
Devin M. Barry United States
Yi Ai relative to YuHong Fu Australia YuHong Fu's profile →
Citations per field
00.5×1.5×
YuHong Fu · 1×
Citations per year

Countries citing papers authored by Yi Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi 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 Yi Ai Line = papers co-authored together Yi Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006203
2 2003126
3 2012116
4 201782
5 200579
6 200569
7 200840
8 201838
9 201836
10 201031
11 200330
12 200826
13 201725
14 202321
15 200620
16 201518
17 201417
18 201217
19 202215
20 201314

About Yi Ai

Yi Ai is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurological disorders and treatments (14 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Nerve injury and regeneration (9 papers), Neuroscience and Neural Engineering (4 papers), Advanced MRI Techniques and Applications (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Rangeland Management and Livestock Ecology (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Developmental Neuroscience (140 citations), Cellular and Molecular Neuroscience (592 citations), Neurology (317 citations), Cognitive Neuroscience (135 citations) and Neurology (55 citations). Yi Ai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Richard Grondin, Don M. Gash, Greg A. Gerhardt, Zhiming Zhang, Michael F. Salvatore, Anli Zhang, Peter Hardy, Anders H. Andersen, Zhiming Zhang and William R. Markesbery. Their work appears in journals such as Experimental Neurology, Agriculture Ecosystems & Environment, Brain Research, Cell Transplantation and Journal of neurosurgery.

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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