Kaige Chen

About

Kaige Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kaige Chen has authored 44 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Immunology. Recurrent topics in Kaige Chen’s work include Immunotherapy and Immune Responses (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Immune cells in cancer (3 papers). Kaige Chen is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Immune cells in cancer (3 papers). Kaige Chen collaborates with scholars based in China, United States and Czechia. Kaige Chen's co-authors include Jun Wang, Song Shen, Yucai Wang, Xianrong Qin and Xianzhu Yang and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Fields of papers citing papers by Kaige Chen

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

Countries citing papers authored by Kaige Chen

Since Specialization

Citations

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

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