Bing Song

53 total papers · 452 total citations
30 papers, 269 citations indexed

About

Bing Song is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Bing Song has authored 30 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Virology. Recurrent topics in Bing Song's work include HIV Research and Treatment (5 papers), Single-cell and spatial transcriptomics (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Bing Song is often cited by papers focused on HIV Research and Treatment (5 papers), Single-cell and spatial transcriptomics (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Bing Song collaborates with scholars based in China, United States and Saudi Arabia. Bing Song's co-authors include Tony F. Chan, Tao Wang, Yan‐Mei Jiao, Mingyi Chen, Frank R. Wendt, Yang Xie, Fu‐Sheng Wang, Shidan Wang, Tianjun Jiang and Li Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bing Song

26 papers receiving 262 citations

Author Peers

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

Author Last Decade Papers Cites
Bing Song 108 48 46 42 21 30 269
Emile B. Gordon 75 0.7× 13 0.3× 25 0.5× 32 0.8× 13 0.6× 13 289
Alessandra Gavazza 77 0.7× 41 0.9× 60 1.3× 3 0.1× 12 0.6× 34 308
Hao Yuan 128 1.2× 14 0.3× 20 0.4× 5 0.1× 16 0.8× 47 286
Shili Zhou 54 0.5× 74 1.5× 11 0.2× 32 0.8× 6 0.3× 27 212
Garrett Johnson 74 0.7× 88 1.8× 20 0.4× 6 0.1× 6 0.3× 27 330
Carlos Loucera 122 1.1× 43 0.9× 20 0.4× 9 0.2× 26 220
Zhongmin Guo 63 0.6× 106 2.2× 16 0.3× 9 0.2× 4 0.2× 25 317
Sandra E. Safo 103 1.0× 23 0.5× 17 0.4× 11 0.3× 11 0.5× 36 211
Mengjia Liu 64 0.6× 34 0.7× 26 0.6× 20 0.5× 2 0.1× 35 261
Jianyu Ye 52 0.5× 36 0.8× 5 0.1× 8 0.2× 16 0.8× 23 278

Countries citing papers authored by Bing Song

Since Specialization
Citations

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

Fields of papers citing papers by Bing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Song

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