Taoyun Ji

988 citations
66 papers · 573 indexed · h-index 14
Topics
Epilepsy research and treatment (27 papers)EEG and Brain-Computer Interfaces (14 papers)Pharmacological Effects and Toxicity Studies (12 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageScientific Reports

In The Last Decade

Taoyun Ji

59 papers receiving 570 citations

Peers

Taoyun Ji
Comparison fields: 5 of 75
  • Molecular Biology 186
  • Psychiatry and Mental health 183
  • Genetics 171
  • Cognitive Neuroscience 112
  • Pediatrics, Perinatology and Child Health 105
Replace M. A. Farnetani with:
M. A. Farnetani Italy
Kyoko Takano Japan
Afshin Saffari Germany
Venkateswaran Ramesh United Kingdom
Sanjeev Rajakulendran United Kingdom
Gemma L. Carvill United States
Claude Steriade United States
Pierre Cacciagli France
Guoming Luan China
Sarah Ferrand‐Sorbets France
Taoyun Ji relative to M. A. Farnetani Italy M. A. Farnetani's profile →
Citations per field
00.5×10×15×21×
M. A. Farnetani · 1×
Citations per year

Countries citing papers authored by Taoyun Ji

Since Specialization
Citations

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

Fields of papers citing papers by Taoyun Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taoyun Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Taoyun Ji. A scholar is included among the top collaborators of Taoyun Ji 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 Taoyun Ji. Taoyun Ji 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
#WorkIndexed citations
1 0
2 5
3 0
4 1
5 6
6 5
7 21
8 8
9 1
10 2
11 5
12 11
13 41
14 47
15
Sialidosis: a case report
1
16 10
17
[Clinical and genetic analysis of a family with Aicardi-Goutières syndrome and literature review].
5
18 1
19 6
20 53

About Taoyun Ji

Taoyun Ji is a scholar working on Psychiatry and Mental health, Neurology and Clinical Biochemistry, having authored 66 papers that have together received 573 indexed citations. Recurring topics across this work include Epilepsy research and treatment (27 papers), EEG and Brain-Computer Interfaces (14 papers) and Pharmacological Effects and Toxicity Studies (12 papers). The work is most often cited by research in Psychiatry and Mental health (183 citations), Neurology (72 citations) and Genetics (171 citations). Taoyun Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuwu Jiang, Ye Wu, Qingzhu Liu, Lixin Cai, Jingmin Wang, Yuehua Zhang, Huifang Wang, Xiru Wu, Ming Liu and Xiaoyan Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

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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