Song Su

19 papers and 480 indexed citations i.

About

Song Su is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Song Su has authored 19 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Song Su’s work include Pancreatic and Hepatic Oncology Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Inflammatory Bowel Disease (3 papers). Song Su is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Inflammatory Bowel Disease (3 papers). Song Su collaborates with scholars based in China, Germany and United States. Song Su's co-authors include Nan Wu, Mingzuo Jiang, Jie Liang, Yanting Shi, Xiaoliang Gao, Yongzhan Nie, Yi Chu, Bing Xu, Wenjiao Li and Daiming Fan and has published in prestigious journals such as European Heart Journal, Cellular and Molecular Life Sciences and Clinical Microbiology and Infection.

In The Last Decade

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

Fields of papers citing papers by Song Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Su

Since Specialization
Citations

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