Ni Ai

29 papers and 1.7k indexed citations i.

About

Ni Ai is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Ni Ai has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Ni Ai’s work include Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Estrogen and related hormone effects (6 papers). Ni Ai is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Estrogen and related hormone effects (6 papers). Ni Ai collaborates with scholars based in United States, China and Switzerland. Ni Ai's co-authors include William J. Welsh, Ming Zhu Fang, Yi Sun, Yimin Wang, Zhé Hóu, Hong Lu, Chung S. Yang, Sean Ekins, Matthew D. Krasowski and Erica J. Reschly and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Environmental Health Perspectives.

In The Last Decade

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

Fields of papers citing papers by Ni Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ni Ai

Since Specialization
Citations

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