Kai Nie
About
Kai Nie is a scholar working on Molecular Biology, Epidemiology and Genetics.
According to data from OpenAlex, Kai Nie has authored 30 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Genetics. Recurrent topics in Kai Nie’s work include Inflammatory Bowel Disease (8 papers), Gut microbiota and health (6 papers) and Microscopic Colitis (5 papers). Kai Nie is often cited by papers focused on Inflammatory Bowel Disease (8 papers), Gut microbiota and health (6 papers) and Microscopic Colitis (5 papers). Kai Nie collaborates with scholars based in China, United Kingdom and United States. Kai Nie's co-authors include Weiwei Luo, Xiaoyan Wang, Minzi Deng, Zhaohua Shen and Ting Tong and has published in prestigious journals such as Gastroenterology, The Science of The Total Environment and Journal of Hazardous Materials.
In The Last Decade
Fields of papers citing papers by Kai Nie
Since SpecializationEngineeringComputer 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 Kai Nie. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Nie may publish in the future.
Countries citing papers authored by Kai Nie
Since SpecializationCitations
This map shows the geographic impact of Kai Nie'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 Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Nie more than expected).
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