Ying Bi

28 papers and 725 indexed citations i.

About

Ying Bi is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Ying Bi has authored 28 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Ying Bi’s work include RNA modifications and cancer (6 papers), Epoxy Resin Curing Processes (4 papers) and Pneumonia and Respiratory Infections (3 papers). Ying Bi is often cited by papers focused on RNA modifications and cancer (6 papers), Epoxy Resin Curing Processes (4 papers) and Pneumonia and Respiratory Infections (3 papers). Ying Bi collaborates with scholars based in China, United Kingdom and United States. Ying Bi's co-authors include Chun‐Xiao Song, Fang Yuan, Paulina Siejka-Zielińska, Benjamin Schuster‐Böckler, Gergana Velikova, Yibin Liu, Markéta Tomková, Lei Chen, Yujuan Wang and Ying Li and has published in prestigious journals such as Nature Communications, Nature Biotechnology and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Ying Bi i

Fields of papers citing papers by Ying Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Bi

Since Specialization
Citations

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