Haijun Song

127 papers and 4.5k indexed citations i.

About

Haijun Song is a scholar working on Paleontology, Geophysics and Geochemistry and Petrology. According to data from OpenAlex, Haijun Song has authored 127 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Paleontology, 37 papers in Geophysics and 36 papers in Geochemistry and Petrology. Recurrent topics in Haijun Song’s work include Paleontology and Stratigraphy of Fossils (112 papers), Geological and Geochemical Analysis (37 papers) and Paleontology and Evolutionary Biology (36 papers). Haijun Song is often cited by papers focused on Paleontology and Stratigraphy of Fossils (112 papers), Geological and Geochemical Analysis (37 papers) and Paleontology and Evolutionary Biology (36 papers). Haijun Song collaborates with scholars based in China, United Kingdom and United States. Haijun Song's co-authors include Jinnan Tong, Paul B. Wignall, Huyue Song, Daoliang Chu, Li Tian, Zhong‐Qiang Chen, Xu Dai, Hongfu Yin, Benjamin Mills and Christopher R. Scotese and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Geochimica et Cosmochimica Acta.

In The Last Decade

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

Fields of papers citing papers by Haijun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haijun Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025