Ming Ni

84 papers and 3.1k indexed citations i.

About

Ming Ni is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Ming Ni has authored 84 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 22 papers in Biomedical Engineering and 14 papers in Biomaterials. Recurrent topics in Ming Ni’s work include Graphene research and applications (13 papers), RNA Interference and Gene Delivery (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Ming Ni is often cited by papers focused on Graphene research and applications (13 papers), RNA Interference and Gene Delivery (9 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Ming Ni collaborates with scholars based in China, Singapore and United States. Ming Ni's co-authors include Buddy D. Ratner, Frank Alexis, Ezequiel Zamora-Ledezma, Víctor H. Guerrero, Camilo Zamora‐Ledezma, Shuangmu Zhuo, Charlotte A. E. Hauser, Ciprian Iliescu, Daniele Zink and Yong Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Blood.

In The Last Decade

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

Fields of papers citing papers by Ming Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Ni

Since Specialization
Citations

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