Fengju Song

97 papers and 2.7k indexed citations i.

About

Fengju Song is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Fengju Song has authored 97 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cancer Research, 33 papers in Molecular Biology and 32 papers in Oncology. Recurrent topics in Fengju Song’s work include Breast Cancer Treatment Studies (13 papers), MicroRNA in disease regulation (12 papers) and Cancer-related molecular mechanisms research (11 papers). Fengju Song is often cited by papers focused on Breast Cancer Treatment Studies (13 papers), MicroRNA in disease regulation (12 papers) and Cancer-related molecular mechanisms research (11 papers). Fengju Song collaborates with scholars based in China, United States and Belgium. Fengju Song's co-authors include Kexin Chen, Hong Zheng, Abrar A. Qureshi, Yubei Huang, Hong Dai, Lína Zhang, Jilong Yang, Yanrui Zhao, Xishan Hao and Jiali Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Hepatology.

In The Last Decade

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

Fields of papers citing papers by Fengju Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fengju Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025