Guangmao Cheng

15 total papers · 511 total citations
12 papers, 427 citations indexed

About

Guangmao Cheng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Guangmao Cheng has authored 12 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cell Biology. Recurrent topics in Guangmao Cheng's work include Cardiomyopathy and Myosin Studies (5 papers), Signaling Pathways in Disease (3 papers) and Ion channel regulation and function (3 papers). Guangmao Cheng is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Signaling Pathways in Disease (3 papers) and Ion channel regulation and function (3 papers). Guangmao Cheng collaborates with scholars based in United States, Poland and China. Guangmao Cheng's co-authors include Donald R. Menick, Ting C. Zhao, Yu Zhao, Dhandapani Kuppuswamy, George Cooper, Loren D. Fast, Shougang Zhuang, Ling Zhang, Paul Liu and Catalin F. Baicu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics and Archives of Biochemistry and Biophysics.

In The Last Decade

Guangmao Cheng

12 papers receiving 420 citations

Author Peers

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

Author Last Decade Papers Cites
Guangmao Cheng 365 131 58 51 39 12 427
Miensheng Chu 225 0.6× 173 1.3× 76 1.3× 20 0.4× 33 0.8× 15 380
Nicholas Stafford 244 0.7× 116 0.9× 111 1.9× 29 0.6× 39 1.0× 19 455
Amy B. Sprenkle 369 1.0× 214 1.6× 32 0.6× 26 0.5× 47 1.2× 9 477
Mimi Tamamori 286 0.8× 145 1.1× 33 0.6× 86 1.7× 29 0.7× 17 446
Daniela Grothe 248 0.7× 111 0.8× 25 0.4× 52 1.0× 19 0.5× 14 385
Branka Kovačič-Milivojević 315 0.9× 192 1.5× 86 1.5× 33 0.6× 26 0.7× 19 475
Keita Maemura 279 0.8× 141 1.1× 63 1.1× 48 0.9× 17 0.4× 14 441
Yangpo Cao 317 0.9× 107 0.8× 48 0.8× 18 0.4× 26 0.7× 18 428
Eileen Vesely 325 0.9× 63 0.5× 43 0.7× 47 0.9× 55 1.4× 8 482
Kimberly Demos-Davies 250 0.7× 133 1.0× 30 0.5× 78 1.5× 21 0.5× 13 415

Countries citing papers authored by Guangmao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Guangmao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangmao Cheng

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