Li Long

About

Li Long is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Li Long has authored 13 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Li Long’s work include CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (3 papers). Li Long is often cited by papers focused on CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (3 papers). Li Long collaborates with scholars based in China, United States and Japan. Li Long's co-authors include David A. Rizzieri, Yan Zou and Hong Liu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Fields of papers citing papers by Li Long

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

Countries citing papers authored by Li Long

Since Specialization

Citations

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

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