Tian Meng

About

Tian Meng is a scholar working on Dermatology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tian Meng has authored 28 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Dermatology, 8 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tian Meng’s work include Dermatologic Treatments and Research (6 papers), melanin and skin pigmentation (4 papers) and Circular RNAs in diseases (3 papers). Tian Meng is often cited by papers focused on Dermatologic Treatments and Research (6 papers), melanin and skin pigmentation (4 papers) and Circular RNAs in diseases (3 papers). Tian Meng collaborates with scholars based in China, United States and India. Tian Meng's co-authors include Cheng Feng, Xiao Long, Kexin Song, Hao Yan and Xiaojun Wang and has published in prestigious journals such as Nature, Blood and Journal of Investigative Dermatology.

In The Last Decade

Fields of papers citing papers by Tian Meng

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

Countries citing papers authored by Tian Meng

Since Specialization

Citations

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

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