Ming Ni

118 papers and 2.0k indexed citations i.

About

Ming Ni is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ming Ni has authored 118 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Surgery. Recurrent topics in Ming Ni’s work include Pituitary Gland Disorders and Treatments (9 papers), Genomics and Phylogenetic Studies (9 papers) and Molecular Biology Techniques and Applications (7 papers). Ming Ni is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Genomics and Phylogenetic Studies (9 papers) and Molecular Biology Techniques and Applications (7 papers). Ming Ni collaborates with scholars based in China, United States and United Kingdom. Ming Ni's co-authors include Han Aung, Tong‐Chuan He, Chun‐Su Yuan, Robin Tong, Sangeeta R. Mehendale, Chong‐Zhi Wang, Xiaochen Bo, Chong-Zhi Wang, Jing-Tian Xie and Xiaoji Luo and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Agricultural and Food Chemistry.

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