Danjun Song

26 papers and 378 indexed citations i.

About

Danjun Song is a scholar working on Oncology, Hepatology and Molecular Biology. According to data from OpenAlex, Danjun Song has authored 26 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Hepatology and 9 papers in Molecular Biology. Recurrent topics in Danjun Song’s work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Danjun Song is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Danjun Song collaborates with scholars based in China, United States and India. Danjun Song's co-authors include Kai Zhu, Shengxiang Rao, Manning Wang, Jia Fan, Aiming Liu, Qiang Gao, Xiaoying Wang, Manyun Dai, Yining Wang and Jiabin Cai and has published in prestigious journals such as British Journal of Pharmacology, Advanced Science and Neurocomputing.

In The Last Decade

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

Fields of papers citing papers by Danjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danjun Song

Since Specialization
Citations

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