Song Wang

46 papers and 810 indexed citations i.

About

Song Wang is a scholar working on Pulmonary and Respiratory Medicine, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Song Wang has authored 46 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 11 papers in Hepatology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Song Wang’s work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Ultrasound and Hyperthermia Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Song Wang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Ultrasound and Hyperthermia Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Song Wang collaborates with scholars based in China, United States and Germany. Song Wang's co-authors include Liang Cheng, Wenyang Zhou, Pingping Wang, Qinghua Jiang, Guiyou Liu, Qinghua Guo, Rui Tian, Meng Luo, Huijie Jiang and Xuming Mo and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

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

Fields of papers citing papers by Song Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Wang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025