Yan Cheng

954 total citations
48 papers, 684 citations indexed

About

Yan Cheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Yan Cheng has authored 48 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Yan Cheng's work include Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Yan Cheng is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Yan Cheng collaborates with scholars based in China, United States and Canada. Yan Cheng's co-authors include Yongming Zhou, Qingyong Yang, Jefferson E. Vallance, David J. Robbins, Melanie A. Stegman, Chuchuan Fan, Han Liu, Liang Guo, Jian Wu and Qing Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Yan Cheng

45 papers receiving 671 citations

Peers

Yan Cheng
Comparison fields: 5 of 112
  • Molecular Biology 372
  • Plant Science 197
  • Genetics 77
  • Cellular and Molecular Neuroscience 42
  • Agronomy and Crop Science 42
Replace Tengfei Zhu with:
Tengfei Zhu China
Zoe Hilioti Greece
Tremayne Mushayahama United States
Leonardo Murgiano Switzerland
S Cecchin Italy
Jun Shi China
Tinneke Denayer Belgium
Garrett Heinrich United States
Sipko van Dam Netherlands
Tengfei Zhu China View profile →
Citations per field, relative to Yan Cheng
Yan Cheng · 1×
Citations per year, relative to Yan Cheng
Yan Cheng · 1×

Countries citing papers authored by Yan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Cheng. A scholar is included among the top collaborators of Yan Cheng 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 Yan Cheng. Yan Cheng 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 0
2 0
3 3
4 25
5 1
6 1
7 4
8 10
9 6
10 11
11 6
12 25
13
[Multi-center study on the treatment of sudden deafness accompanied with tinnitus].
1
14 15
15 12
16 2
17 17
18 11
19 31
20 90

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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