Jingsi Jin

About

Jingsi Jin is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Jingsi Jin has authored 5 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Jingsi Jin’s work include Viral Infections and Vectors (2 papers), interferon and immune responses (2 papers) and Immune Cell Function and Interaction (1 paper). Jingsi Jin is often cited by papers focused on Viral Infections and Vectors (2 papers), interferon and immune responses (2 papers) and Immune Cell Function and Interaction (1 paper). Jingsi Jin collaborates with scholars based in China. Jingsi Jin's co-authors include Xiaochuan Hong, Dongqing Cao, Wenwen Li and Bing Su and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Science Advances.

In The Last Decade

Fields of papers citing papers by Jingsi Jin

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

Countries citing papers authored by Jingsi Jin

Since Specialization

Citations

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

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