Ge‐cai Chen

48 total papers · 659 total citations
31 papers, 469 citations indexed

About

Ge‐cai Chen is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ge‐cai Chen has authored 31 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Molecular Biology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ge‐cai Chen's work include Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Circular RNAs in diseases (5 papers). Ge‐cai Chen is often cited by papers focused on Mesenchymal stem cell research (9 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Circular RNAs in diseases (5 papers). Ge‐cai Chen collaborates with scholars based in China. Ge‐cai Chen's co-authors include Zhongbao Ruan, Li Zhu, Yigang Yin, Yin Ren, R.Z. Wang, Mei‐Xiang Wang, Chengchun Tang, Rui Zhang, Yong Qiao and Feng Cao and has published in prestigious journals such as PLoS ONE, Life Sciences and Journal of Cellular Physiology.

In The Last Decade

Ge‐cai Chen

29 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Ge‐cai Chen	208	162	144	111	78	31	469
Zhuzhi Wen	284 1.4×	132 0.8×	168 1.2×	138 1.2×	97 1.2×	20	519
Jun Shen	262 1.3×	120 0.7×	127 0.9×	132 1.2×	58 0.7×	27	544
Keiji Matsui	213 1.0×	91 0.6×	140 1.0×	43 0.4×	66 0.8×	27	493
Ishran M. Saadiq	222 1.1×	153 0.9×	130 0.9×	70 0.6×	55 0.7×	32	464
Nesrine Ebrahim	252 1.2×	136 0.8×	112 0.8×	97 0.9×	20 0.3×	22	507
Wei Rao	283 1.4×	154 1.0×	91 0.6×	113 1.0×	17 0.2×	25	540
Rafael Dariolli	230 1.1×	79 0.5×	119 0.8×	32 0.3×	106 1.4×	36	519
Bingyuan Wu	182 0.9×	62 0.4×	84 0.6×	82 0.7×	139 1.8×	28	426
Anna Skorska	262 1.3×	90 0.6×	111 0.8×	73 0.7×	118 1.5×	31	481
Santhosh Kumar Ghadge	231 1.1×	71 0.4×	82 0.6×	40 0.4×	107 1.4×	18	420

Countries citing papers authored by Ge‐cai Chen

Since Specialization

Citations

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

Fields of papers citing papers by Ge‐cai Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge‐cai Chen

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