Hua Gu

About

Hua Gu is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hua Gu has authored 69 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 22 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hua Gu’s work include T-cell and B-cell Immunology (35 papers), Immune Cell Function and Interaction (29 papers) and Immunotherapy and Immune Responses (12 papers). Hua Gu is often cited by papers focused on T-cell and B-cell Immunology (35 papers), Immune Cell Function and Interaction (29 papers) and Immunotherapy and Immune Responses (12 papers). Hua Gu collaborates with scholars based in United States, China and Germany. Hua Gu's co-authors include Klaus Rajewsky, Ihn Kyung Jang, Mayumi Naramura, Werner Müller and Yong-Rui Zou and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Fields of papers citing papers by Hua 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 Hua Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Hua Gu may publish in the future.

Countries citing papers authored by Hua Gu

Since Specialization

Citations

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

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