Li Song

94 total papers · 1.2k total citations
68 papers, 805 citations indexed

About

Li Song is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Li Song has authored 68 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 29 papers in Surgery and 19 papers in Molecular Biology. Recurrent topics in Li Song's work include Acute Myocardial Infarction Research (22 papers), Coronary Interventions and Diagnostics (18 papers) and Cardiac Imaging and Diagnostics (15 papers). Li Song is often cited by papers focused on Acute Myocardial Infarction Research (22 papers), Coronary Interventions and Diagnostics (18 papers) and Cardiac Imaging and Diagnostics (15 papers). Li Song collaborates with scholars based in China, United States and Germany. Li Song's co-authors include Hongbing Yan, Peng Zhou, Hanjun Zhao, Jiannan Li, Jinying Zhou, Runzhen Chen, Zhaoxue Sheng, Yu Ting Tan, Chen Liu and Chen Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Li Song

62 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
Li Song 346 247 168 125 113 68 805
David Busseuil 250 0.7× 363 1.5× 175 1.0× 103 0.8× 100 0.9× 54 857
Jinying Zhou 258 0.7× 332 1.3× 225 1.3× 97 0.8× 105 0.9× 82 756
Peng Zhou 341 1.0× 359 1.5× 228 1.4× 104 0.8× 109 1.0× 98 958
Maoxiong Wu 314 0.9× 203 0.8× 138 0.8× 91 0.7× 79 0.7× 58 878
Hanjun Zhao 289 0.8× 371 1.5× 268 1.6× 138 1.1× 121 1.1× 91 927
Gotthard Schettler 249 0.7× 210 0.9× 239 1.4× 83 0.7× 109 1.0× 86 959
Aneta Aleksova 239 0.7× 428 1.7× 127 0.8× 148 1.2× 125 1.1× 73 1.0k
Guoxian Qi 371 1.1× 256 1.0× 206 1.2× 95 0.8× 54 0.5× 75 950
Bilgehan Karadağ 263 0.8× 243 1.0× 125 0.7× 89 0.7× 81 0.7× 67 777
Elena Revuelta‐López 302 0.9× 328 1.3× 224 1.3× 111 0.9× 75 0.7× 51 817

Countries citing papers authored by Li Song

Since Specialization
Citations

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

Fields of papers citing papers by Li Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Song

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