Chunli Song

6.5k total citations · 1 hit paper
125 papers, 4.5k citations indexed

About

Chunli Song is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Chunli Song has authored 125 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 21 papers in Cancer Research and 17 papers in Epidemiology. Recurrent topics in Chunli Song's work include MicroRNA in disease regulation (15 papers), Proteins in Food Systems (10 papers) and Cancer-related molecular mechanisms research (9 papers). Chunli Song is often cited by papers focused on MicroRNA in disease regulation (15 papers), Proteins in Food Systems (10 papers) and Cancer-related molecular mechanisms research (9 papers). Chunli Song collaborates with scholars based in China, United States and Hong Kong. Chunli Song's co-authors include Guangwen Lu, Sheng Niu, Yu Hu, Kwok‐Yung Yuen, Jianxun Qi, Qisheng Wang, Yanfang Zhang, Jinghua Yan, Huan Zhou and Qihui Wang and has published in prestigious journals such as Cell, Angewandte Chemie International Edition and Advanced Functional Materials.

In The Last Decade

Chunli Song

115 papers receiving 4.4k citations

Hit Papers

Structural and Functional Basis of SARS-CoV-2 Entry by Us... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k

Peers

Chunli Song
Comparison fields: 5 of 148
  • Molecular Biology 1.7k
  • Infectious Diseases 1.7k
  • Cancer Research 668
  • Epidemiology 458
  • Computational Theory and Mathematics 333
Jiaxin Hu China
Ashish Ranjan Sharma South Korea
Tanapat Palaga Thailand
Lina Zhou China
Jing‐Quan Wang China
Graham S. Timmins United States
Mengyuan Li China
Feng Jiang China
Supriya D. Mahajan United States
Hongbo Chen China
Jiaxin Hu China View profile →
Citations per field, relative to Chunli Song
Chunli Song · 1×
Citations per year, relative to Chunli Song
Chunli Song · 1×

Countries citing papers authored by Chunli Song

Since Specialization
Citations

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

Fields of papers citing papers by Chunli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunli Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chunli Song. A scholar is included among the top collaborators of Chunli 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 Chunli Song. Chunli 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 0
2 3
3 3
4 0
5 16
6 0
7 2
8 58
9 16
10 14
11 12
12 1
13 16
14 14
15 45
16 1
17 5
18 97
19 11
20 171

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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2026