Chenghuan Song

504 total citations · 1 hit paper
12 papers, 352 citations indexed

About

Chenghuan Song is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Chenghuan Song has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Cancer Research. Recurrent topics in Chenghuan Song's work include MicroRNA in disease regulation (4 papers), Alzheimer's disease research and treatments (3 papers) and Circular RNAs in diseases (3 papers). Chenghuan Song is often cited by papers focused on MicroRNA in disease regulation (4 papers), Alzheimer's disease research and treatments (3 papers) and Circular RNAs in diseases (3 papers). Chenghuan Song collaborates with scholars based in China and Thailand. Chenghuan Song's co-authors include Yongfang Zhang, Jiyun Shi, Hongzhuan Chen, Hao Wang, Lan‐Xue Zhao, Rui Zhang, Jianrong Xu, Wan‐Ying Huang, Gang Hu and Ming Lu and has published in prestigious journals such as The FASEB Journal, Cell Death and Differentiation and Biochemical Pharmacology.

In The Last Decade

Chenghuan Song

12 papers receiving 349 citations

Hit Papers

Immunotherapy for Alzheimer’s disease: targeting β-amyloi... 2022 2026 2023 2024 2022 50 100 150

Peers

Chenghuan Song
Comparison fields: 5 of 66
  • Molecular Biology 186
  • Physiology 134
  • Cancer Research 84
  • Neurology 73
  • Pharmacology 56
Replace Nipun Chopra with:
Nipun Chopra United States
Laura García‐González France
Ang Xing China
Yana Pang China
Xiaolin Cui China
Laura Buizza Italy
Yifan Dang China
Mei-Chen Liao United States
Jesus Campagna United States
Jan Verheijen United States
Nipun Chopra United States View profile →
Citations per field, relative to Chenghuan Song
Chenghuan Song · 1×
Citations per year, relative to Chenghuan Song
Chenghuan Song · 1×

Countries citing papers authored by Chenghuan Song

Since Specialization
Citations

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

Fields of papers citing papers by Chenghuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenghuan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chenghuan Song. A scholar is included among the top collaborators of Chenghuan 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 Chenghuan Song. Chenghuan Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 2
3 3
4 6
5 13
6 3
7 37
8
Immunotherapy for Alzheimer’s disease: targeting β-amyloid and beyond breakdown →
164
9 70
10 12
11 22
12 16

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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