Ting La

About

Ting La is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ting La has authored 18 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Ting La’s work include Cancer-related Molecular Pathways (4 papers), Cancer-related molecular mechanisms research (3 papers) and Melanoma and MAPK Pathways (3 papers). Ting La is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Cancer-related molecular mechanisms research (3 papers) and Melanoma and MAPK Pathways (3 papers). Ting La collaborates with scholars based in China, Australia and Saudi Arabia. Ting La's co-authors include Xu Dong Zhang, Rick F. Thorne, Lei Jin, Xu Guang Yan and Yuan Yuan Zhang and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Ting La

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

Countries citing papers authored by Ting La

Since Specialization

Citations

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

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