Kyungchul Song

110 papers and 810 indexed citations i.

About

Kyungchul Song is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Kyungchul Song has authored 110 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 27 papers in Endocrinology, Diabetes and Metabolism and 18 papers in Molecular Biology. Recurrent topics in Kyungchul Song’s work include Statistical Methods and Inference (24 papers), Liver Disease Diagnosis and Treatment (13 papers) and Advanced Causal Inference Techniques (10 papers). Kyungchul Song is often cited by papers focused on Statistical Methods and Inference (24 papers), Liver Disease Diagnosis and Treatment (13 papers) and Advanced Causal Inference Techniques (10 papers). Kyungchul Song collaborates with scholars based in South Korea, Canada and United States. Kyungchul Song's co-authors include Yoon‐Jae Whang, Hyun Wook Chae, Ho-Seong Kim, Oliver Linton, Junghwan Suh, Ahreum Kwon, Han Saem Choi, Sokbae Lee, Hye Sun Lee and John F. Rabolt and has published in prestigious journals such as Blood, Journal of Political Economy and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Kyungchul Song i

Fields of papers citing papers by Kyungchul Song

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

Countries citing papers authored by Kyungchul Song

Since Specialization
Citations

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

Rankless by CCL
2025