Gaopeng Song

64 total papers · 939 total citations
57 papers, 788 citations indexed

About

Gaopeng Song is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Gaopeng Song has authored 57 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Organic Chemistry and 13 papers in Pharmacology. Recurrent topics in Gaopeng Song's work include Influenza Virus Research Studies (11 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Phosphodiesterase function and regulation (9 papers). Gaopeng Song is often cited by papers focused on Influenza Virus Research Studies (11 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Phosphodiesterase function and regulation (9 papers). Gaopeng Song collaborates with scholars based in China, United States and Hong Kong. Gaopeng Song's co-authors include Zi‐Ning Cui, Sumei Li, Shuwen Liu, Yasheng Li, Yingxia Li, Yixian Liao, Hongwei Jin, Dongsheng Zhao, Xintian Shen and Ning Ding and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Gaopeng Song

55 papers receiving 785 citations

Author Peers

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

Author Last Decade Papers Cites
Gaopeng Song 419 241 131 119 103 57 788
Wei Tang 316 0.8× 239 1.0× 86 0.7× 161 1.4× 107 1.0× 62 894
Amgad Albohy 469 1.1× 340 1.4× 82 0.6× 64 0.5× 64 0.6× 47 874
SEIKICHI SUZUKI 435 1.0× 156 0.6× 104 0.8× 88 0.7× 175 1.7× 39 899
Mingna Sun 279 0.7× 144 0.6× 57 0.4× 103 0.9× 112 1.1× 32 806
Chunping Wan 282 0.7× 187 0.8× 102 0.8× 91 0.8× 112 1.1× 53 752
Аndrey G. Pokrovsky 402 1.0× 291 1.2× 50 0.4× 64 0.5× 59 0.6× 76 818
Jinhong Ren 361 0.9× 150 0.6× 57 0.4× 78 0.7× 81 0.8× 46 895
Hui Wang 422 1.0× 143 0.6× 115 0.9× 56 0.5× 122 1.2× 35 804
Yung‐Yi Cheng 399 1.0× 127 0.5× 68 0.5× 110 0.9× 90 0.9× 52 836
Ilona Mucsi 341 0.8× 91 0.4× 73 0.6× 123 1.0× 70 0.7× 39 777

Countries citing papers authored by Gaopeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Gaopeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaopeng Song

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