Songcang Chen

41 total papers · 2.4k total citations
32 papers, 1.9k citations indexed

About

Songcang Chen is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Songcang Chen has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Pathology and Forensic Medicine and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Songcang Chen's work include Vitamin D Research Studies (14 papers), Heart Failure Treatment and Management (9 papers) and Estrogen and related hormone effects (4 papers). Songcang Chen is often cited by papers focused on Vitamin D Research Studies (14 papers), Heart Failure Treatment and Management (9 papers) and Estrogen and related hormone effects (4 papers). Songcang Chen collaborates with scholars based in United States, Brazil and Australia. Songcang Chen's co-authors include David G. Gardner, Christopher L. Grigsby, Christopher S. Law, Denis J. Glenn, Keith Olsen, Juan Kong, Yan Chun Li, Liping Cao, Xin‐Min Li and Wei Zheng and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Songcang Chen

31 papers receiving 1.8k citations

Hit Papers

Molecular and cellular dy... 2025 2026 2025 5 10 15

Author Peers

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

Author Last Decade Papers Cites
Songcang Chen 1.0k 528 423 388 245 32 1.9k
Robert U. Simpson 2.0k 2.0× 790 1.5× 352 0.8× 642 1.7× 231 0.9× 62 3.0k
Kari E. Wong 837 0.8× 395 0.7× 153 0.4× 453 1.2× 115 0.5× 37 1.9k
W. H. L. Hackeng 528 0.5× 226 0.4× 290 0.7× 286 0.7× 197 0.8× 73 2.0k
Kristen Jablonski 341 0.3× 373 0.7× 798 1.9× 270 0.7× 175 0.7× 30 2.0k
Rosemary Bland 1.5k 1.5× 581 1.1× 142 0.3× 615 1.6× 196 0.8× 48 3.1k
Cynthia S. Ritter 1.2k 1.2× 641 1.2× 156 0.4× 467 1.2× 251 1.0× 52 2.6k
Amy E. Riek 874 0.9× 350 0.7× 120 0.3× 195 0.5× 84 0.3× 19 1.5k
Jason R. Stubbs 587 0.6× 451 0.9× 141 0.3× 822 2.1× 192 0.8× 41 2.4k
Albert Fournier 265 0.3× 265 0.5× 293 0.7× 278 0.7× 338 1.4× 40 1.5k
Ute Zeitz 861 0.9× 554 1.0× 70 0.2× 600 1.5× 124 0.5× 25 2.1k

Countries citing papers authored by Songcang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Songcang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songcang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Songcang Chen. A scholar is included among the top collaborators of Songcang 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 Songcang Chen. Songcang 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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