Yan Ren

About

Yan Ren is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Yan Ren has authored 13 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Plant Science. Recurrent topics in Yan Ren’s work include Gene Regulatory Network Analysis (2 papers), Circadian rhythm and melatonin (2 papers) and Gestational Diabetes Research and Management (1 paper). Yan Ren is often cited by papers focused on Gene Regulatory Network Analysis (2 papers), Circadian rhythm and melatonin (2 papers) and Gestational Diabetes Research and Management (1 paper). Yan Ren collaborates with scholars based in United States, China and Germany. Yan Ren's co-authors include Mario Medvedovic, Sookkyung Lim, Christian I. Hong, Siva Sivaganesan and Xiaoxia Wu and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

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

Countries citing papers authored by Yan Ren

Since Specialization

Citations

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

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