Silan Dai

About

Silan Dai is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Silan Dai has authored 75 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 44 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Silan Dai’s work include Plant Molecular Biology Research (34 papers), Plant Reproductive Biology (20 papers) and Plant Gene Expression Analysis (17 papers). Silan Dai is often cited by papers focused on Plant Molecular Biology Research (34 papers), Plant Reproductive Biology (20 papers) and Plant Gene Expression Analysis (17 papers). Silan Dai collaborates with scholars based in China and United States. Silan Dai's co-authors include Jianxin Fu, Liwen Yang, Shuai Qi and Yan Hong and has published in prestigious journals such as PLoS ONE, Gene and Frontiers in Plant Science.

In The Last Decade

Fields of papers citing papers by Silan Dai

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

Countries citing papers authored by Silan Dai

Since Specialization

Citations

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

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