Ting Dai

About

Ting Dai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ting Dai has authored 29 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Ting Dai’s work include Cancer-related molecular mechanisms research (6 papers), NF-κB Signaling Pathways (4 papers) and Nerve injury and regeneration (4 papers). Ting Dai is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), NF-κB Signaling Pathways (4 papers) and Nerve injury and regeneration (4 papers). Ting Dai collaborates with scholars based in China, United States and Iran. Ting Dai's co-authors include Xiang Zhou, Xiaohui Zhao, Bo He, Libing Song and Lihong Yu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Neuroscience and British Journal of Cancer.

In The Last Decade

Fields of papers citing papers by Ting Dai

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

Countries citing papers authored by Ting Dai

Since Specialization

Citations

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

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