Ting Yan

About

Ting Yan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ting Yan has authored 66 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 19 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Ting Yan’s work include Cancer Cells and Metastasis (8 papers), Pluripotent Stem Cells Research (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Ting Yan is often cited by papers focused on Cancer Cells and Metastasis (8 papers), Pluripotent Stem Cells Research (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Ting Yan collaborates with scholars based in China, United States and Japan. Ting Yan's co-authors include Jin Chen, Masaharu Seno, Pascal Vicaire, Hui Huang, John A. Stankovic, Radu Stoleru, Qing Cao, Liuxin Cui, Liqian Luo and Tarek Abdelzaher and has published in prestigious journals such as Neuron, Macromolecules and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ting Yan i

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Fields of papers citing papers by Ting Yan

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

Countries citing papers authored by Ting Yan

Since Specialization

Citations

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

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