Tian Tian

101 papers and 3.1k indexed citations i.

About

Tian Tian is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Tian Tian has authored 101 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 19 papers in Cancer Research and 12 papers in Plant Science. Recurrent topics in Tian Tian’s work include MicroRNA in disease regulation (13 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Genomics and Phylogenetic Studies (8 papers). Tian Tian is often cited by papers focused on MicroRNA in disease regulation (13 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Genomics and Phylogenetic Studies (8 papers). Tian Tian collaborates with scholars based in China, United States and Japan. Tian Tian's co-authors include Huixin Zhang, Jun Gao, Jiahuan Wu, Hongyu Zhang and Chaoyong Yang and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Fields of papers citing papers by Tian Tian

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

Countries citing papers authored by Tian Tian

Since Specialization

Citations

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

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