Fan Ling

About

Fan Ling is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Fan Ling has authored 22 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 9 papers in Molecular Biology and 2 papers in Insect Science. Recurrent topics in Fan Ling’s work include Research in Cotton Cultivation (11 papers), Plant Stress Responses and Tolerance (4 papers) and Plant nutrient uptake and metabolism (3 papers). Fan Ling is often cited by papers focused on Research in Cotton Cultivation (11 papers), Plant Stress Responses and Tolerance (4 papers) and Plant nutrient uptake and metabolism (3 papers). Fan Ling collaborates with scholars based in China, Israel and United Kingdom. Fan Ling's co-authors include Peter Neumann, Zhiyong Ni, Lixia Xie and Xian Wang and has published in prestigious journals such as PLANT PHYSIOLOGY, Oncogene and Physiologia Plantarum.

In The Last Decade

Fields of papers citing papers by Fan Ling

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

Countries citing papers authored by Fan Ling

Since Specialization

Citations

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

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