Chenchen Song

1.5k total citations
51 papers, 1.1k citations indexed

About

Chenchen Song is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Chenchen Song has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Chenchen Song's work include Neural dynamics and brain function (15 papers), Photoreceptor and optogenetics research (14 papers) and Neuroscience and Neural Engineering (13 papers). Chenchen Song is often cited by papers focused on Neural dynamics and brain function (15 papers), Photoreceptor and optogenetics research (14 papers) and Neuroscience and Neural Engineering (13 papers). Chenchen Song collaborates with scholars based in China, United Kingdom and Hong Kong. Chenchen Song's co-authors include Thomas Knöpfel, Jinhui Wu, Yiqiao Hu, Ajuan Yu, Shusheng Zhang, Gangfeng Ouyang, Xin Shen, Chenxiao Jiang, Qian Qiao and Yasir Gallero-Salas and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Chenchen Song

48 papers receiving 1.0k citations

Peers

Chenchen Song
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 417
  • Cognitive Neuroscience 327
  • Molecular Biology 254
  • Biomedical Engineering 146
  • Materials Chemistry 133
Replace Juan Guo with:
Juan Guo China
László Zimányi Hungary
Cheng Chen United States
Ayako Ishikawa Japan
Tetsuro Katayama Japan
Erik Freier Germany
Kang Zheng China
Neil Dawson United Kingdom
Andrew R. Battle Australia
Xinhe Liu China
Juan Guo China View profile →
Citations per field, relative to Chenchen Song
Chenchen Song · 1×
Citations per year, relative to Chenchen Song
Chenchen Song · 1×

Countries citing papers authored by Chenchen Song

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenchen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chenchen Song. A scholar is included among the top collaborators of Chenchen Song 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 Chenchen Song. Chenchen Song 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 1
2 0
3 4
4 3
5 4
6 4
7 2
8 15
9 3
10 0
11 37
12 38
13 36
14 19
15 29
16 134
17 18
18 40
19 41
20 45

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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