Jun Kang

About

Jun Kang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Jun Kang has authored 41 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 16 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Jun Kang’s work include HER2/EGFR in Cancer Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Jun Kang is often cited by papers focused on HER2/EGFR in Cancer Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Jun Kang collaborates with scholars based in South Korea, United States and Türkiye. Jun Kang's co-authors include Ahwon Lee, Gyungyub Gong, Ho Yun Lee, Lee-So Maeng and Ji Shin Lee and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Jun Kang

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

Countries citing papers authored by Jun Kang

Since Specialization

Citations

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

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