Min Ni

88 papers and 5.3k indexed citations i.

About

Min Ni is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Min Ni has authored 88 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 14 papers in Cancer Research and 14 papers in Cell Biology. Recurrent topics in Min Ni’s work include Endoplasmic Reticulum Stress and Disease (11 papers), Metabolism and Genetic Disorders (10 papers) and Autophagy in Disease and Therapy (9 papers). Min Ni is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (11 papers), Metabolism and Genetic Disorders (10 papers) and Autophagy in Disease and Therapy (9 papers). Min Ni collaborates with scholars based in China, United States and Pakistan. Min Ni's co-authors include Amy S. Lee, Yi Zhang, Myles Brown, Jian Xu, X. Shirley Liu, E. Barrón, Jiaxi Li, David R. Hinton, Shannon T. Bailey and Fu‐Ming Shen and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Min Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Ni

Since Specialization
Citations

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