Na Di

About

Na Di is a scholar working on Molecular Biology, Reproductive Medicine and Oncology. According to data from OpenAlex, Na Di has authored 36 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Reproductive Medicine and 6 papers in Oncology. Recurrent topics in Na Di’s work include Ovarian function and disorders (5 papers), Reproductive Biology and Fertility (3 papers) and TGF-β signaling in diseases (3 papers). Na Di is often cited by papers focused on Ovarian function and disorders (5 papers), Reproductive Biology and Fertility (3 papers) and TGF-β signaling in diseases (3 papers). Na Di collaborates with scholars based in China, United States and Japan. Na Di's co-authors include Huimian Xu, Zhenning Wang, Chenggang Jiang, Ming Gao and Dongzi Yang and has published in prestigious journals such as PLoS ONE, Journal of Alloys and Compounds and Theoretical and Applied Genetics.

In The Last Decade

Fields of papers citing papers by Na Di

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

Countries citing papers authored by Na Di

Since Specialization

Citations

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

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