Kai Ni

22 papers and 280 indexed citations i.

About

Kai Ni is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Kai Ni has authored 22 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Oncology. Recurrent topics in Kai Ni’s work include Biochemical Analysis and Sensing Techniques (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Epigenetics and DNA Methylation (3 papers). Kai Ni is often cited by papers focused on Biochemical Analysis and Sensing Techniques (4 papers), Erythrocyte Function and Pathophysiology (4 papers) and Epigenetics and DNA Methylation (3 papers). Kai Ni collaborates with scholars based in China and United States. Kai Ni's co-authors include Kathrin Muegge, Linhong Deng, Richard Finney, Jianke Ren, Yuan‐Zheng Xia, Lei Yang, Ling‐Yi Kong, Yang Jin, Yafeng He and Xiaoping Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Kai Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Ni

Since Specialization
Citations

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