Song Li-hua
About
Song Li-hua is a scholar working on Molecular Biology, Immunology and Oncology.
According to data from OpenAlex, Song Li-hua has authored 12 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Song Li-hua’s work include Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Song Li-hua is often cited by papers focused on Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Song Li-hua collaborates with scholars based in China and United States. Song Li-hua's co-authors include Wei Wei, Lingling Zhang, Mi‐Zhen Xia, Jing Liu and Hongmei Xu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Song Li-hua
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 Li-hua. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Song Li-hua may publish in the future.
Countries citing papers authored by Song Li-hua
Since SpecializationCitations
This map shows the geographic impact of Song Li-hua'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 Li-hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Li-hua more than expected).
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