Cheng-Yun Cai

629 citations
21 papers · 328 indexed · h-index 10
Topics
Neuroscience and Neuropharmacology Research (13 papers)Memory and Neural Mechanisms (9 papers)Stress Responses and Cortisol (6 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Cheng-Yun Cai

20 papers receiving 325 citations

Peers

Cheng-Yun Cai
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 150
  • Cognitive Neuroscience 131
  • Behavioral Neuroscience 83
  • Molecular Biology 79
  • Physiology 49
Replace Carolina Piletti Chatain with:
Carolina Piletti Chatain Germany
Douglas Senna Engelke Brazil
Juliana Presti-Torres Brazil
Jun-Ichiro Oka Japan
Felipe Siciliani Scalco Brazil
Harold L. Haun United States
Carolina Garrido Zinn Brazil
Benedikt T. Bedenk Germany
E. Elvander-Tottie Sweden
Małgorzata Zienowicz Poland
Cheng-Yun Cai relative to Carolina Piletti Chatain Germany Carolina Piletti Chatain's profile →
Citations per field
00.5×1.5×
Carolina Piletti Chatain · 1×
Citations per year

Countries citing papers authored by Cheng-Yun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Yun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Yun Cai. 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 Cheng-Yun Cai. The network helps show where Cheng-Yun Cai may publish in the future.

Co-authorship network of co-authors of Cheng-Yun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Yun Cai. A scholar is included among the top collaborators of Cheng-Yun Cai 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 Cheng-Yun Cai. Cheng-Yun Cai 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 8
2 0
3 2
4 8
5 5
6 11
7 5
8 3
9 9
10 30
11 2
12 2
13 21
14 8
15 81
16 28
17 17
18 20
19 16
20 51

About Cheng-Yun Cai

Cheng-Yun Cai is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Neurology, having authored 21 papers that have together received 328 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Memory and Neural Mechanisms (9 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Behavioral Neuroscience (83 citations), Biological Psychiatry (39 citations) and Cellular and Molecular Neuroscience (150 citations). Cheng-Yun Cai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dong‐Ya Zhu, Chun‐Xia Luo, Hai‐Yin Wu, Cheng‐Feng Qin, Yu‐Hui Lin, Tao Yan, Ying Zhou, Lei Chang, Lei Chang and Jing Zhang. Their work appears in journals such as Journal of Neuroscience, Scientific Reports and Brain Research.

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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