Peng Song

85 papers and 1.1k indexed citations i.

About

Peng Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Peng Song has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Pulmonary and Respiratory Medicine, 38 papers in Oncology and 21 papers in Cancer Research. Recurrent topics in Peng Song’s work include Lung Cancer Treatments and Mutations (29 papers), Cancer Immunotherapy and Biomarkers (22 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Peng Song is often cited by papers focused on Lung Cancer Treatments and Mutations (29 papers), Cancer Immunotherapy and Biomarkers (22 papers) and Lung Cancer Diagnosis and Treatment (13 papers). Peng Song collaborates with scholars based in China, United States and Hong Kong. Peng Song's co-authors include Shugeng Gao, Robert T. Kennedy, Li Zhang, Xiaoxia Cui, Shugeng Gao, Jianming Ying, Jie He, Lei Guo, Li Zhang and Ruochuan Zang and has published in prestigious journals such as PLoS ONE, Biomaterials and Analytical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Peng Song i

Fields of papers citing papers by Peng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Song

Since Specialization
Citations

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

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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2025