Song Chang

65 papers and 3.7k indexed citations i.

About

Song Chang is a scholar working on Pharmacology, Plant Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Song Chang has authored 65 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pharmacology, 15 papers in Plant Science and 14 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Song Chang’s work include Fungal Biology and Applications (23 papers), Job Satisfaction and Organizational Behavior (13 papers) and Neural dynamics and brain function (7 papers). Song Chang is often cited by papers focused on Fungal Biology and Applications (23 papers), Job Satisfaction and Organizational Behavior (13 papers) and Neural dynamics and brain function (7 papers). Song Chang collaborates with scholars based in Hong Kong, China and United States. Song Chang's co-authors include Vincent E. C. Ooi, Yaping Gong, F. Liu, Liangding Jia, Siu Yin Cheung, Katherine Xin, Kenneth S. Law, Cass Shum, Sean A. Way and J. A. Buswell and has published in prestigious journals such as Nature, Journal of Neuroscience and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Song Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Chang

Since Specialization
Citations

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