Run Cai

26 papers and 608 indexed citations i.

About

Run Cai is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Run Cai has authored 26 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Run Cai’s work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Plant Gene Expression Analysis (6 papers). Run Cai is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Plant Gene Expression Analysis (6 papers). Run Cai collaborates with scholars based in China and United States. Run Cai's co-authors include Junsong Pan, Huanle He, Jian Pan, Hongli Lian, Jingtao Nie, Junlong Zhao, Yuan Guan, Chunli Guo, Hai Huang and Limin Pi and has published in prestigious journals such as The Plant Cell, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Co-authorship network of co-authors of Run Cai i

Fields of papers citing papers by Run Cai

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

Countries citing papers authored by Run Cai

Since Specialization
Citations

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

Rankless by CCL
2025