Song Daxiang

48 papers and 684 indexed citations i.

About

Song Daxiang is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Song Daxiang has authored 48 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 20 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Molecular Biology. Recurrent topics in Song Daxiang’s work include Spider Taxonomy and Behavior Studies (24 papers), Lepidoptera: Biology and Taxonomy (17 papers) and Genomics and Phylogenetic Studies (11 papers). Song Daxiang is often cited by papers focused on Spider Taxonomy and Behavior Studies (24 papers), Lepidoptera: Biology and Taxonomy (17 papers) and Genomics and Phylogenetic Studies (11 papers). Song Daxiang collaborates with scholars based in China, United States and Taiwan. Song Daxiang's co-authors include Kaiya Zhou, Hongying Sun, Ming-Sheng Zhu, Yonghua Gai, Jia‐Yong Zhang, Huiqin Ma, Chang-Fa Zhou, Yang Qiu, Bo‐Ping Tang and Guang Yang and has published in prestigious journals such as Gene, Molecular Phylogenetics and Evolution and Journal of Molecular Evolution.

In The Last Decade

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

Fields of papers citing papers by Song Daxiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Daxiang

Since Specialization
Citations

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