Tianci Yan

About

Tianci Yan is a scholar working on Molecular Biology, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Tianci Yan has authored 30 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Plant Science and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Tianci Yan’s work include Plant Gene Expression Analysis (5 papers), Advancements in Battery Materials (5 papers) and Biosynthesis and Engineering of Terpenoids (4 papers). Tianci Yan is often cited by papers focused on Plant Gene Expression Analysis (5 papers), Advancements in Battery Materials (5 papers) and Biosynthesis and Engineering of Terpenoids (4 papers). Tianci Yan collaborates with scholars based in China. Tianci Yan's co-authors include Jun Cao, Hui Zheng, Jin Kong, Xiaodong Zheng and Dongqian Shan and has published in prestigious journals such as Nucleic Acids Research, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Fields of papers citing papers by Tianci Yan

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

Countries citing papers authored by Tianci Yan

Since Specialization

Citations

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

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