Dae‐Kyu Song

112 papers and 2.6k indexed citations i.

About

Dae‐Kyu Song is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Dae‐Kyu Song has authored 112 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 25 papers in Surgery and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Dae‐Kyu Song’s work include Pancreatic Islet Dysfunction and Regeneration (20 papers), Metabolism, Diabetes, and Cancer (12 papers) and Tea Polyphenols and Effects (12 papers). Dae‐Kyu Song is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (20 papers), Metabolism, Diabetes, and Cancer (12 papers) and Tea Polyphenols and Effects (12 papers). Dae‐Kyu Song collaborates with scholars based in South Korea, United States and Japan. Dae‐Kyu Song's co-authors include Jae‐Hoon Bae, Seung‐Soon Im, Jae‐Hyung Park, Seong‐Il Suh, Byeong‐Churl Jang, Won‐Ki Baek, Frances M. Ashcroft, Sang-Pyo Kim, Jong‐Wook Park and Taeg Kyu Kwon and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Dae‐Kyu Song i

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

Countries citing papers authored by Dae‐Kyu Song

Since Specialization
Citations

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

Rankless by CCL
2025