Xiaoyun Ren

About

Xiaoyun Ren is a scholar working on Infectious Diseases, Molecular Biology and Cell Biology. According to data from OpenAlex, Xiaoyun Ren has authored 28 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Xiaoyun Ren’s work include COVID-19 epidemiological studies (3 papers), Zoonotic diseases and public health (3 papers) and Microtubule and mitosis dynamics (3 papers). Xiaoyun Ren is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Zoonotic diseases and public health (3 papers) and Microtubule and mitosis dynamics (3 papers). Xiaoyun Ren collaborates with scholars based in New Zealand, China and United States. Xiaoyun Ren's co-authors include Joep de Ligt, Jemma L. Geoghegan, Nigel French, David Welch and Jordan Douglas and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Xiaoyun Ren

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 Xiaoyun Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoyun Ren may publish in the future.

Countries citing papers authored by Xiaoyun Ren

Since Specialization

Citations

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

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