Song Lian

About

Song Lian is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Song Lian has authored 17 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Song Lian’s work include Synthesis and Biological Evaluation (5 papers), Synthesis and biological activity (5 papers) and Ferrocene Chemistry and Applications (3 papers). Song Lian is often cited by papers focused on Synthesis and Biological Evaluation (5 papers), Synthesis and biological activity (5 papers) and Ferrocene Chemistry and Applications (3 papers). Song Lian collaborates with scholars based in China, Finland and South Korea. Song Lian's co-authors include Bao‐Xiang Zhao, Hong‐Shui Lv, Haitao Zhu, Dongqing Wang and Zhong‐Liang Gong and has published in prestigious journals such as Scientific Reports, Cell Death and Differentiation and Carbohydrate Research.

In The Last Decade

Fields of papers citing papers by Song Lian

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 Song Lian. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Lian may publish in the future.

Countries citing papers authored by Song Lian

Since Specialization

Citations

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

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