Siyuan Chen

492 total citations · 1 hit paper
11 papers, 235 citations indexed

About

Siyuan Chen is a scholar working on Molecular Biology, Genetics and Astronomy and Astrophysics. According to data from OpenAlex, Siyuan Chen has authored 11 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Astronomy and Astrophysics. Recurrent topics in Siyuan Chen's work include Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and Cell Image Analysis Techniques (1 paper). Siyuan Chen is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and Cell Image Analysis Techniques (1 paper). Siyuan Chen collaborates with scholars based in Saudi Arabia, China and Hong Kong. Siyuan Chen's co-authors include Xin Gao, Haoyang Li, Juexiao Zhou, Bin Zhang, Zhongxiao Li, Yu Wang, Xingyu Liao, Shiwei Sun, Ruochi Zhang and Yu Li and has published in prestigious journals such as Nature Communications, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Siyuan Chen

9 papers receiving 233 citations

Hit Papers

A comprehensive benchmarking with practical guidelines fo... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Siyuan Chen
Comparison fields: 5 of 59
  • Molecular Biology 160
  • Cancer Research 44
  • Artificial Intelligence 36
  • Immunology 33
  • Biophysics 26
Replace Raphael Petegrosso with:
Raphael Petegrosso United States
Chuanchao Zhang China
Zhuliu Li United States
Jiayuan Zhong China
Bianca Dumitrascu United States
Minh Tran Australia
Shaliu Fu China
Tai-Yun Kim Australia
Daiwei Zhang United States
Raphael Petegrosso United States View profile →
Citations per field, relative to Siyuan Chen
Siyuan Chen · 1×
Citations per year, relative to Siyuan Chen
Siyuan Chen · 1×

Countries citing papers authored by Siyuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Siyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyuan Chen

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 6
3 0
4 21
5 20
6 2
7 6
8
A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics breakdown →
115
9 5
10 49
11 11

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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