Qing‐Ling Fu

About

Qing‐Ling Fu is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Qing‐Ling Fu has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 25 papers in Immunology and 25 papers in Genetics. Recurrent topics in Qing‐Ling Fu’s work include Mesenchymal stem cell research (23 papers), IL-33, ST2, and ILC Pathways (20 papers) and Extracellular vesicles in disease (18 papers). Qing‐Ling Fu is often cited by papers focused on Mesenchymal stem cell research (23 papers), IL-33, ST2, and ILC Pathways (20 papers) and Extracellular vesicles in disease (18 papers). Qing‐Ling Fu collaborates with scholars based in China, Hong Kong and United States. Qing‐Ling Fu's co-authors include Xingliang Fan, Shu‐Bin Fang, Weiping Wen, Yueqi Sun and Jianbo Shi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Fields of papers citing papers by Qing‐Ling Fu

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

Countries citing papers authored by Qing‐Ling Fu

Since Specialization

Citations

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

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