Ni Ai

26 papers and 1.6k indexed citations i.

About

Ni Ai is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Ni Ai has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 9 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Ni Ai’s work include Drug Transport and Resistance Mechanisms (7 papers), Estrogen and related hormone effects (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Ni Ai is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), Estrogen and related hormone effects (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). Ni Ai collaborates with scholars based in United States, China and Switzerland. Ni Ai's co-authors include William J. Welsh, Sean Ekins, Matthew D. Krasowski, Lee R. Hagey 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

Fields of papers citing papers by Ni Ai

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Ni Ai. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025