Da Ma

About

Da Ma is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Da Ma has authored 31 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Da Ma’s work include Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers) and Wound Healing and Treatments (3 papers). Da Ma is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers) and Wound Healing and Treatments (3 papers). Da Ma collaborates with scholars based in China, United States and Hong Kong. Da Ma's co-authors include Zhi Wang, Juan Fang, Bin Cheng, Juan Xia and Jingjing Song and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Immunology and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Da Ma

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

Countries citing papers authored by Da Ma

Since Specialization

Citations

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

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