Kangxing Song

11 papers and 427 indexed citations i.

About

Kangxing Song is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kangxing Song has authored 11 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kangxing Song’s work include Pancreatic Islet Dysfunction and Regeneration (2 papers), Cell Adhesion Molecules Research (2 papers) and COVID-19 and Mental Health (2 papers). Kangxing Song is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (2 papers), Cell Adhesion Molecules Research (2 papers) and COVID-19 and Mental Health (2 papers). Kangxing Song collaborates with scholars based in China, United States and Philippines. Kangxing Song's co-authors include Fengsu Hou, Rong Jiao, Fengying Bi, Dan Luo, Shuxia Wang, Arya Mani, Roshni Srivastava, Yang Jiang, Voyko Kavcic and Terry D. Stratton and has published in prestigious journals such as The FASEB Journal, Carbohydrate Polymers and International Journal of Biological Macromolecules.

In The Last Decade

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

Fields of papers citing papers by Kangxing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kangxing Song

Since Specialization
Citations

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