Fangyuan Chen

72 total papers · 537 total citations
14 papers, 250 citations indexed

About

Fangyuan Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Fangyuan Chen has authored 14 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in Fangyuan Chen's work include Cancer Cells and Metastasis (2 papers), Single-cell and spatial transcriptomics (2 papers) and Machine Learning in Healthcare (2 papers). Fangyuan Chen is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Single-cell and spatial transcriptomics (2 papers) and Machine Learning in Healthcare (2 papers). Fangyuan Chen collaborates with scholars based in China, United States and Germany. Fangyuan Chen's co-authors include Zhiyong Lu, Qiao Jin, Dara Bracken‐Clarke, Jimeng Sun, Elisabetta Xue, Yifan Yang, Charalampos S. Floudas, Conghui You, Neil Carleton and Yan‐Bing He and has published in prestigious journals such as Nucleic Acids Research, Circulation and Nature Communications.

In The Last Decade

Fangyuan Chen

12 papers receiving 248 citations

Hit Papers

Matching patients to clin... 2024 2026 2024 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fangyuan Chen 55 54 52 51 50 14 250
Sangkyu Lee 36 0.7× 29 0.5× 20 0.4× 21 0.4× 28 0.6× 23 298
Guangxu Cao 25 0.5× 9 0.2× 7 0.1× 63 1.2× 116 2.3× 19 269
Xijing Yan 28 0.5× 5 0.1× 6 0.1× 39 0.8× 55 1.1× 11 204
Thodsawit Tiyarattanachai 20 0.4× 14 0.3× 25 0.5× 15 0.3× 28 0.6× 23 299
Chenglu Zhu 43 0.8× 42 0.8× 11 0.2× 10 0.2× 35 0.7× 17 212
Mehmet A. Baysal 15 0.3× 10 0.2× 12 0.2× 43 0.8× 46 0.9× 13 184
Yusuke Takagi 113 2.1× 32 0.6× 2 0.0× 15 0.3× 27 0.5× 15 272
Mark G. Hegarty 25 0.5× 10 0.2× 3 0.1× 38 0.7× 114 2.3× 11 329
Koji Horie 51 0.9× 11 0.2× 8 0.2× 15 0.3× 117 2.3× 16 331
Hiromichi Fukushima 15 0.3× 13 0.2× 6 0.1× 6 0.1× 38 0.8× 17 330

Countries citing papers authored by Fangyuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyuan Chen

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

All Works

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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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