Quanli Gao

About

Quanli Gao is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Quanli Gao has authored 13 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 5 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Quanli Gao’s work include CAR-T cell therapy research (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (2 papers). Quanli Gao is often cited by papers focused on CAR-T cell therapy research (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (2 papers). Quanli Gao collaborates with scholars based in China and United States. Quanli Gao's co-authors include Jishuai Zhang, Lu Han, Keshu Zhou and Yongping Song and has published in prestigious journals such as Journal of Clinical Oncology, Biomaterials and Leukemia.

In The Last Decade

Fields of papers citing papers by Quanli Gao

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

Countries citing papers authored by Quanli Gao

Since Specialization

Citations

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

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