Gang Song

38 papers and 367 indexed citations i.

About

Gang Song is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Gang Song has authored 38 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Gang Song’s work include Prostate Cancer Treatment and Research (15 papers), Prostate Cancer Diagnosis and Treatment (15 papers) and Urologic and reproductive health conditions (5 papers). Gang Song is often cited by papers focused on Prostate Cancer Treatment and Research (15 papers), Prostate Cancer Diagnosis and Treatment (15 papers) and Urologic and reproductive health conditions (5 papers). Gang Song collaborates with scholars based in China, United States and United Kingdom. Gang Song's co-authors include Liqun Zhou, Chin‐Tarng Lin, Xuesong Li, Xiaoqian Xu, Yanfeng Xu, Shiming He, He Wang, Larry Denner, Yanqing Gong and S. Wei and has published in prestigious journals such as Brain Research, The Journal of Infectious Diseases and The Journal of Urology.

In The Last Decade

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

Fields of papers citing papers by Gang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Song

Since Specialization
Citations

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