Shan Meng

About

Shan Meng is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Shan Meng has authored 15 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Shan Meng’s work include Multiple Myeloma Research and Treatments (6 papers), Cancer Risks and Factors (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). Shan Meng is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Cancer Risks and Factors (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). Shan Meng collaborates with scholars based in China and United States. Shan Meng's co-authors include Fuling Zhou, Wanggang Zhang, Yongchang Wei, Hailing Liu and Honglei Tu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Fields of papers citing papers by Shan Meng

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

Countries citing papers authored by Shan Meng

Since Specialization

Citations

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

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