Qing Nian

27 papers and 266 indexed citations i.

About

Qing Nian is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Qing Nian has authored 27 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Qing Nian’s work include Protein Tyrosine Phosphatases (6 papers), Galectins and Cancer Biology (4 papers) and Bone and Dental Protein Studies (3 papers). Qing Nian is often cited by papers focused on Protein Tyrosine Phosphatases (6 papers), Galectins and Cancer Biology (4 papers) and Bone and Dental Protein Studies (3 papers). Qing Nian collaborates with scholars based in China, France and Japan. Qing Nian's co-authors include Zhiqiang Zhang, Jinhao Zeng, Yuzhen Han, Fernando Rodrigues‐Lima, Lin Liu, Zesong Yang, Li Wang, Qing Xiao, Jing Luo and Jérémy Berthelet and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Qing Nian i

Fields of papers citing papers by Qing Nian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing Nian

Since Specialization
Citations

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