Mei Ni

66 papers and 959 indexed citations i.

About

Mei Ni is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Immunology. According to data from OpenAlex, Mei Ni has authored 66 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 13 papers in Immunology. Recurrent topics in Mei Ni’s work include Atherosclerosis and Cardiovascular Diseases (8 papers), Coronary Interventions and Diagnostics (7 papers) and Cancer-related molecular mechanisms research (4 papers). Mei Ni is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (8 papers), Coronary Interventions and Diagnostics (7 papers) and Cancer-related molecular mechanisms research (4 papers). Mei Ni collaborates with scholars based in China, United States and France. Mei Ni's co-authors include Yun Zhang, Xiaoling Gao, Xinguo Jiang, Mei Dong, Mei Zhang, Jun Chen, Xiaoling Liu, Constantin Bouras, Qizhi Zhang and Jun Chen and has published in prestigious journals such as Nature Communications, ACS Nano and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Mei Ni i

Fields of papers citing papers by Mei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Ni

Since Specialization
Citations

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