Song Wen
About
Song Wen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery.
According to data from OpenAlex, Song Wen has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Song Wen’s work include Diet and metabolism studies (9 papers), Diabetes Treatment and Management (8 papers) and Pancreatic Islet Dysfunction and Regeneration (7 papers). Song Wen is often cited by papers focused on Diet and metabolism studies (9 papers), Diabetes Treatment and Management (8 papers) and Pancreatic Islet Dysfunction and Regeneration (7 papers). Song Wen collaborates with scholars based in China, United States and Bangladesh. Song Wen's co-authors include Ligang Zhou, Gao‐Jun Teng, Chaoxun Wang, Ying Cui and Xinlu Yuan and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Song Wen
Since SpecializationEngineeringComputer 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 Song Wen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Wen may publish in the future.
Countries citing papers authored by Song Wen
Since SpecializationCitations
This map shows the geographic impact of Song Wen'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 Song Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wen more than expected).
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