Ni Sima

About

Ni Sima is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Ni Sima has authored 20 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Oncology. Recurrent topics in Ni Sima’s work include Cervical Cancer and HPV Research (9 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). Ni Sima is often cited by papers focused on Cervical Cancer and HPV Research (9 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). Ni Sima collaborates with scholars based in China and United States. Ni Sima's co-authors include Wei Wang, Ding Ma, Jianfeng Zhou, Shixuan Wang and Aiyue Luo and has published in prestigious journals such as PLoS ONE, Cancer Letters and Gynecologic Oncology.

In The Last Decade

Fields of papers citing papers by Ni Sima

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

Countries citing papers authored by Ni Sima

Since Specialization

Citations

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

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