Weibo Song

408 papers and 8.2k indexed citations i.

About

Weibo Song is a scholar working on Molecular Biology, Ecology and Environmental Chemistry. According to data from OpenAlex, Weibo Song has authored 408 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 375 papers in Molecular Biology, 374 papers in Ecology and 190 papers in Environmental Chemistry. Recurrent topics in Weibo Song’s work include Protist diversity and phylogeny (367 papers), Microbial Community Ecology and Physiology (354 papers) and Methane Hydrates and Related Phenomena (188 papers). Weibo Song is often cited by papers focused on Protist diversity and phylogeny (367 papers), Microbial Community Ecology and Physiology (354 papers) and Methane Hydrates and Related Phenomena (188 papers). Weibo Song collaborates with scholars based in China, Saudi Arabia and United Kingdom. Weibo Song's co-authors include Alan Warren, Khaled A. S. Al‐Rasheid, Xiaozhong Hu, Zhenzhen Yi, Norbert Wilbert, Jun Gong, Feng Gao, Xiaofeng Lin, Saleh Alfarraj and Zigui Chen and has published in prestigious journals such as Bioinformatics, PLoS ONE and Bioresource Technology.

In The Last Decade

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

Fields of papers citing papers by Weibo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Weibo Song

Since Specialization
Citations

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