Songling Bai

75 papers and 3.6k indexed citations i.

About

Songling Bai is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Songling Bai has authored 75 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 63 papers in Plant Science and 11 papers in Biochemistry. Recurrent topics in Songling Bai’s work include Plant Gene Expression Analysis (35 papers), Plant Molecular Biology Research (32 papers) and Plant Reproductive Biology (31 papers). Songling Bai is often cited by papers focused on Plant Gene Expression Analysis (35 papers), Plant Molecular Biology Research (32 papers) and Plant Reproductive Biology (31 papers). Songling Bai collaborates with scholars based in China, Japan and Egypt. Songling Bai's co-authors include Yuanwen Teng, Junbei Ni, Takaya Moriguchi, Ruiyan Tao, Takanori Saito, Akiko Ito, Qinsong Yang, Jianzhao Li, Minjie Qian and Lei Yin and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Plant Cell.

In The Last Decade

Co-authorship network of co-authors of Songling Bai i

Fields of papers citing papers by Songling Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songling Bai

Since Specialization
Citations

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