Lin Ren

About

Lin Ren is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Lin Ren has authored 40 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Cancer Research. Recurrent topics in Lin Ren’s work include Lipid Membrane Structure and Behavior (13 papers), Cellular transport and secretion (8 papers) and Trace Elements in Health (4 papers). Lin Ren is often cited by papers focused on Lipid Membrane Structure and Behavior (13 papers), Cellular transport and secretion (8 papers) and Trace Elements in Health (4 papers). Lin Ren collaborates with scholars based in China, Sweden and France. Lin Ren's co-authors include Andrew G. Ewing, Xiaowei Qi, Johan Dunevall, Yi Zhang and Per Malmberg and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

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

Countries citing papers authored by Lin Ren

Since Specialization

Citations

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

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