Kai Chen

About

Kai Chen is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Kai Chen has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cancer Research, 39 papers in Oncology and 30 papers in Pathology and Forensic Medicine. Recurrent topics in Kai Chen’s work include Breast Cancer Treatment Studies (45 papers), Breast Lesions and Carcinomas (28 papers) and HER2/EGFR in Cancer Research (14 papers). Kai Chen is often cited by papers focused on Breast Cancer Treatment Studies (45 papers), Breast Lesions and Carcinomas (28 papers) and HER2/EGFR in Cancer Research (14 papers). Kai Chen collaborates with scholars based in China, United States and Hong Kong. Kai Chen's co-authors include Fengxi Su, Shunrong Li, Liling Zhu, Erwei Song and Weijuan Jia and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

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

Countries citing papers authored by Kai Chen

Since Specialization

Citations

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

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