Yan Ni
About
Yan Ni is a scholar working on Molecular Biology, Epidemiology and Physiology.
According to data from OpenAlex, Yan Ni has authored 109 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 22 papers in Epidemiology and 18 papers in Physiology. Recurrent topics in Yan Ni’s work include Metabolomics and Mass Spectrometry Studies (29 papers), Liver Disease Diagnosis and Treatment (16 papers) and Diet and metabolism studies (15 papers). Yan Ni is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (29 papers), Liver Disease Diagnosis and Treatment (16 papers) and Diet and metabolism studies (15 papers). Yan Ni collaborates with scholars based in China, United States and Italy. Yan Ni's co-authors include Jia Wang, Mingming Su, Aihua Zhao, Tianlu Chen and Guoxiang Xie and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.
In The Last Decade
Fields of papers citing papers by Yan Ni
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 Yan Ni. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yan Ni may publish in the future.
Countries citing papers authored by Yan Ni
Since SpecializationCitations
This map shows the geographic impact of Yan 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 Yan Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ni more than expected).
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