Keifu Song

28 papers and 1.0k indexed citations i.

About

Keifu Song is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Keifu Song has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 17 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Keifu Song’s work include Renin-Angiotensin System Studies (19 papers), Receptor Mechanisms and Signaling (14 papers) and Neuropeptides and Animal Physiology (7 papers). Keifu Song is often cited by papers focused on Renin-Angiotensin System Studies (19 papers), Receptor Mechanisms and Signaling (14 papers) and Neuropeptides and Animal Physiology (7 papers). Keifu Song collaborates with scholars based in Japan, Australia and United States. Keifu Song's co-authors include Mizuo Miyazaki, Frederick A.O. Mendelsohn, Jia L. Zhuo, Naotaka Shiota and Hideki Okunishi and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and Kidney International.

In The Last Decade

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

Countries citing papers authored by Keifu Song

Since Specialization
Citations

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

Rankless by CCL
2025