Tang Hai
About
Tang Hai is a scholar working on Molecular Biology, Genetics and Surgery.
According to data from OpenAlex, Tang Hai has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Surgery. Recurrent topics in Tang Hai’s work include CRISPR and Genetic Engineering (18 papers), Pluripotent Stem Cells Research (15 papers) and Animal Genetics and Reproduction (7 papers). Tang Hai is often cited by papers focused on CRISPR and Genetic Engineering (18 papers), Pluripotent Stem Cells Research (15 papers) and Animal Genetics and Reproduction (7 papers). Tang Hai collaborates with scholars based in China, United States and France. Tang Hai's co-authors include Qi Zhou, Liu Wang, Jie Hao, Wei Li, Zhuo Lv, Xiaoyang Zhao, Man Tong, Fanyi Zeng, Lei Liu and Qingwen Ma and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Advanced Materials.
In The Last Decade
Co-authorship network of co-authors of Tang Hai i
Fields of papers citing papers by Tang Hai
Since SpecializationEngineeringComputer 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 Tang Hai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tang Hai may publish in the future.
Countries citing papers authored by Tang Hai
Since SpecializationCitations
This map shows the geographic impact of Tang Hai'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 Tang Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tang Hai more than expected).
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