Loling Song

About

Loling Song is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Loling Song has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Cell Biology. Recurrent topics in Loling Song’s work include 3D Printing in Biomedical Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and FOXO transcription factor regulation (1 paper). Loling Song is often cited by papers focused on 3D Printing in Biomedical Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and FOXO transcription factor regulation (1 paper). Loling Song collaborates with scholars based in United States and Germany. Loling Song's co-authors include Taru Muranen, Joan S. Brugge, Sizhen Gao, Eberhard Bodenschatz and Marcin Iwanicki and has published in prestigious journals such as Nature, Cancer Cell and Cancer Research.

In The Last Decade

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

Countries citing papers authored by Loling Song

Since Specialization

Citations

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

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