Song Jia

16 papers and 860 indexed citations i.

About

Song Jia is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Song Jia has authored 16 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Song Jia’s work include Immune Response and Inflammation (7 papers), Sepsis Diagnosis and Treatment (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Song Jia is often cited by papers focused on Immune Response and Inflammation (7 papers), Sepsis Diagnosis and Treatment (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Song Jia collaborates with scholars based in Canada, China and Thailand. Song Jia's co-authors include Jean Parodo, John C. Marshall, András Kapùs, Ori D. Rotstein and Lingzhi Fan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Fields of papers citing papers by Song Jia

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

Countries citing papers authored by Song Jia

Since Specialization
Citations

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

Rankless by CCL
2025