Feng‐lei Chao

1.2k total citations
51 papers, 898 citations indexed

About

Feng‐lei Chao is a scholar working on Physiology, Developmental Neuroscience and Neurology. According to data from OpenAlex, Feng‐lei Chao has authored 51 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 21 papers in Developmental Neuroscience and 20 papers in Neurology. Recurrent topics in Feng‐lei Chao's work include Alzheimer's disease research and treatments (22 papers), Neurogenesis and neuroplasticity mechanisms (21 papers) and Neuroinflammation and Neurodegeneration Mechanisms (19 papers). Feng‐lei Chao is often cited by papers focused on Alzheimer's disease research and treatments (22 papers), Neurogenesis and neuroplasticity mechanisms (21 papers) and Neuroinflammation and Neurodegeneration Mechanisms (19 papers). Feng‐lei Chao collaborates with scholars based in China, United States and Saudi Arabia. Feng‐lei Chao's co-authors include Yong Tang, Lin Jiang, Chunni Zhou, Qian Xiao, Yanmin Luo, Chunxia Huang, Yuan Gao, Xin Liang, Jing Tang and Lei Zhang and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Neuroscience.

In The Last Decade

Feng‐lei Chao

50 papers receiving 895 citations

Peers

Feng‐lei Chao
Comparison fields: 5 of 88
  • Physiology 329
  • Neurology 320
  • Developmental Neuroscience 209
  • Biological Psychiatry 191
  • Behavioral Neuroscience 175
Replace Chunxia Huang with:
Chunxia Huang China
Natalina Salmaso Canada
Malin Wennström Sweden
Chunni Zhou China
Arne Herring Germany
Ahmad A. Khundakar United Kingdom
Alexandria Tartt United States
Seung‐Soo Baek South Korea
Anna Parachikova United States
Kathryn Nichol United States
Chunxia Huang China View profile →
Citations per field, relative to Feng‐lei Chao
Feng‐lei Chao · 1×
Citations per year, relative to Feng‐lei Chao
Feng‐lei Chao · 1×

Countries citing papers authored by Feng‐lei Chao

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐lei Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐lei Chao. 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 Feng‐lei Chao. The network helps show where Feng‐lei Chao may publish in the future.

Co-authorship network of co-authors of Feng‐lei Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐lei Chao. A scholar is included among the top collaborators of Feng‐lei Chao 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 Feng‐lei Chao. Feng‐lei Chao 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 2
2 0
3 3
4 1
5 3
6 27
7 20
8 10
9 20
10 19
11 20
12 11
13 19
14 13
15 14
16 21
17 13
18 4
19 17
20 4

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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