Bin Ren

About

Bin Ren is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Bin Ren has authored 16 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 1 paper in Pharmacology. Recurrent topics in Bin Ren’s work include CRISPR and Genetic Engineering (13 papers), Plant Virus Research Studies (8 papers) and Chromosomal and Genetic Variations (3 papers). Bin Ren is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Plant Virus Research Studies (8 papers) and Chromosomal and Genetic Variations (3 papers). Bin Ren collaborates with scholars based in China, Norway and Hong Kong. Bin Ren's co-authors include Huanbin Zhou, Xueping Zhou, Yongjie Kuang, Fang Yan and Carl Spetz and has published in prestigious journals such as Nature Communications, The Plant Cell and Genome biology.

In The Last Decade

Fields of papers citing papers by Bin 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 Bin Ren. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bin Ren may publish in the future.

Countries citing papers authored by Bin Ren

Since Specialization

Citations

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

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