Gang Cai
About
Gang Cai is a scholar working on Molecular Biology, Immunology and Cancer Research.
According to data from OpenAlex, Gang Cai has authored 31 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Gang Cai’s work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and NF-κB Signaling Pathways (4 papers). Gang Cai is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and NF-κB Signaling Pathways (4 papers). Gang Cai collaborates with scholars based in China, United States and Croatia. Gang Cai's co-authors include Qian Shen, Jiafei Lin, Xiaoxia Li, Junjie Zhao and Caini Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Communications.
In The Last Decade
Fields of papers citing papers by Gang Cai
Since SpecializationEngineeringComputer 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 Gang Cai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Cai may publish in the future.
Countries citing papers authored by Gang Cai
Since SpecializationCitations
This map shows the geographic impact of Gang Cai'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 Gang Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Cai more than expected).
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