Tong Da

About

Tong Da is a scholar working on Oncology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Tong Da has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Tong Da’s work include CAR-T cell therapy research (9 papers), Cardiac Arrest and Resuscitation (3 papers) and Virus-based gene therapy research (3 papers). Tong Da is often cited by papers focused on CAR-T cell therapy research (9 papers), Cardiac Arrest and Resuscitation (3 papers) and Virus-based gene therapy research (3 papers). Tong Da collaborates with scholars based in United States, China and Poland. Tong Da's co-authors include Carl H. June, Regina M. Young, John Scholler, Marco Ruella and Avery D. Posey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Cancer Research.

In The Last Decade

Fields of papers citing papers by Tong Da

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

Countries citing papers authored by Tong Da

Since Specialization

Citations

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

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