Xing Song

107 total papers · 1.4k total citations
60 papers, 945 citations indexed

About

Xing Song is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Xing Song has authored 60 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Molecular Biology. Recurrent topics in Xing Song's work include Lung Cancer Treatments and Mutations (7 papers), Circular RNAs in diseases (6 papers) and Machine Learning in Healthcare (6 papers). Xing Song is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Circular RNAs in diseases (6 papers) and Machine Learning in Healthcare (6 papers). Xing Song collaborates with scholars based in China, United States and Finland. Xing Song's co-authors include Jingting Jiang, Lemuel R. Waitman, Yingjie Shao, Wendong Gu, Yong Hu, Alan S.L. Yu, Mei Liu, Luo Zhang, Changping Wu and Xiao Zheng and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Xing Song

53 papers receiving 937 citations

Author Peers

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

Author Last Decade Papers Cites
Xing Song 340 253 239 137 125 60 945
Bastien Rance 314 0.9× 92 0.4× 149 0.6× 157 1.1× 212 1.7× 63 896
Edwina Duhig 410 1.2× 202 0.8× 280 1.2× 458 3.3× 139 1.1× 36 1.1k
Zhibin Ye 377 1.1× 68 0.3× 129 0.5× 98 0.7× 67 0.5× 51 1.0k
Zhenming Fu 255 0.8× 318 1.3× 132 0.6× 240 1.8× 47 0.4× 73 1.2k
Donna R. Rivera 135 0.4× 532 2.1× 171 0.7× 195 1.4× 51 0.4× 91 1.2k
Yu Jiang 377 1.1× 213 0.8× 172 0.7× 169 1.2× 35 0.3× 63 1.0k
Antonella Ferro 319 0.9× 425 1.7× 237 1.0× 232 1.7× 51 0.4× 56 1.1k
Fabrizio Consorti 238 0.7× 180 0.7× 49 0.2× 55 0.4× 123 1.0× 71 939
Xin Guan 243 0.7× 111 0.4× 140 0.6× 101 0.7× 49 0.4× 60 894
Jing Cao 511 1.5× 220 0.9× 337 1.4× 139 1.0× 33 0.3× 67 1.2k

Countries citing papers authored by Xing Song

Since Specialization
Citations

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

Fields of papers citing papers by Xing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Song. A scholar is included among the top collaborators of Xing 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 Xing Song. Xing 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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2026