Quan Gu

About

Quan Gu is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Quan Gu has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Quan Gu’s work include Machine Learning in Bioinformatics (7 papers), Viral Infections and Vectors (6 papers) and interferon and immune responses (5 papers). Quan Gu is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Viral Infections and Vectors (6 papers) and interferon and immune responses (5 papers). Quan Gu collaborates with scholars based in China, United Kingdom and United States. Quan Gu's co-authors include Yongsheng Ding, Alain Kohl, Tong-Liang Zhang, Ana da Silva Filipe and Massimo Palmarini and has published in prestigious journals such as Journal of Clinical Investigation, The EMBO Journal and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Quan Gu

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

Countries citing papers authored by Quan Gu

Since Specialization

Citations

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

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