Jiangning Song

301 papers and 9.5k indexed citations i.

About

Jiangning Song is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Jiangning Song has authored 301 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 228 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 18 papers in Artificial Intelligence. Recurrent topics in Jiangning Song’s work include Machine Learning in Bioinformatics (135 papers), RNA and protein synthesis mechanisms (78 papers) and Genomics and Phylogenetic Studies (56 papers). Jiangning Song is often cited by papers focused on Machine Learning in Bioinformatics (135 papers), RNA and protein synthesis mechanisms (78 papers) and Genomics and Phylogenetic Studies (56 papers). Jiangning Song collaborates with scholars based in Australia, China and United States. Jiangning Song's co-authors include Fuyi Li, Geoffrey I. Webb, Tatsuya Akutsu, André Leier, Kuo‐Chen Chou, Tatiana T. Marquez‐Lago, Zhen Chen, Chen Li, Ziding Zhang and A. Ian Smith and has published in prestigious journals such as JAMA, Nucleic Acids Research and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Jiangning Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiangning Song

Since Specialization
Citations

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