Kaili Shen
About
Kaili Shen is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Molecular Biology.
According to data from OpenAlex, Kaili Shen has authored 16 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Pollution and 3 papers in Molecular Biology. Recurrent topics in Kaili Shen’s work include Toxic Organic Pollutants Impact (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Membrane Separation Technologies (2 papers). Kaili Shen is often cited by papers focused on Toxic Organic Pollutants Impact (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Membrane Separation Technologies (2 papers). Kaili Shen collaborates with scholars based in China and United Kingdom. Kaili Shen's co-authors include Yingxu Chen, Chaofeng Shen, Xin Ma, Congkai Zhang and Haipeng Liu and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.
In The Last Decade
Fields of papers citing papers by Kaili Shen
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 Kaili Shen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kaili Shen may publish in the future.
Countries citing papers authored by Kaili Shen
Since SpecializationCitations
This map shows the geographic impact of Kaili Shen'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 Kaili Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaili Shen more than expected).
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