Kenneth Song

23 papers and 4.0k indexed citations i.

About

Kenneth Song is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Kenneth Song has authored 23 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Kenneth Song’s work include Caveolin-1 and cellular processes (10 papers), Erythrocyte Function and Pathophysiology (6 papers) and Metabolism, Diabetes, and Cancer (4 papers). Kenneth Song is often cited by papers focused on Caveolin-1 and cellular processes (10 papers), Erythrocyte Function and Pathophysiology (6 papers) and Metabolism, Diabetes, and Cancer (4 papers). Kenneth Song collaborates with scholars based in United States, Japan and South Africa. Kenneth Song's co-authors include Michael P. Lisanti, Takashi Okamoto, Shengwen Calvin Li, Massimo Sargiacomo, Philipp E. Scherer, ZhaoLan Tang, Lawrence A. Quilliam, D. Stave Kohtz, Caryn Chu and Zhenyong Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

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

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

Countries citing papers authored by Kenneth Song

Since Specialization
Citations

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

Rankless by CCL
2025