Wenbin Song

49 total papers · 1.5k total citations
36 papers, 966 citations indexed

About

Wenbin Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Wenbin Song has authored 36 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Wenbin Song's work include Ferroptosis and cancer prognosis (9 papers), Cancer, Lipids, and Metabolism (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Wenbin Song is often cited by papers focused on Ferroptosis and cancer prognosis (9 papers), Cancer, Lipids, and Metabolism (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Wenbin Song collaborates with scholars based in China, United States and Taiwan. Wenbin Song's co-authors include Dalin He, Shuyuan Yeh, Chawnshang Chang, Q. Ping Dou, Jinbao Liu, Ningning Liu, Shouting Liu, Siyan Liao, Hongbiao Huang and Xuejun Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Wenbin Song

36 papers receiving 955 citations

Author Peers

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

Author Last Decade Papers Cites
Wenbin Song 533 243 208 199 85 36 966
Agnieszka Gomułkiewicz 451 0.8× 316 1.3× 202 1.0× 203 1.0× 68 0.8× 61 1.0k
Yule Chen 710 1.3× 277 1.1× 276 1.3× 262 1.3× 109 1.3× 47 1.1k
Tsui‐Hsia Feng 659 1.2× 185 0.8× 213 1.0× 130 0.7× 83 1.0× 52 1.1k
Samuel A. Kerk 602 1.1× 236 1.0× 278 1.3× 171 0.9× 67 0.8× 21 948
Jing Li 564 1.1× 268 1.1× 228 1.1× 161 0.8× 54 0.6× 44 962
Dinghua Yang 481 0.9× 398 1.6× 388 1.9× 191 1.0× 109 1.3× 41 998
Rong Fu 493 0.9× 174 0.7× 258 1.2× 185 0.9× 52 0.6× 41 937
Mengxiong Sun 480 0.9× 181 0.7× 198 1.0× 237 1.2× 110 1.3× 45 1.0k
Émilie Thivat 397 0.7× 417 1.7× 286 1.4× 183 0.9× 62 0.7× 60 1.2k
Sylvie Shen 443 0.8× 200 0.8× 174 0.8× 169 0.8× 61 0.7× 26 832

Countries citing papers authored by Wenbin Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbin Song

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