Xiaoran Long
About
Xiaoran Long is a scholar working on Molecular Biology, Cancer Research and Hepatology.
According to data from OpenAlex, Xiaoran Long has authored 14 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Hepatology. Recurrent topics in Xiaoran Long’s work include Cancer-related molecular mechanisms research (6 papers), Ovarian cancer diagnosis and treatment (3 papers) and MicroRNA in disease regulation (3 papers). Xiaoran Long is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Ovarian cancer diagnosis and treatment (3 papers) and MicroRNA in disease regulation (3 papers). Xiaoran Long collaborates with scholars based in China, Israel and Hong Kong. Xiaoran Long's co-authors include Wen Di, Wenjing Wang, Yong He, Hui‐Yun Wang and Xiongwen Lv and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal of Cancer.
In The Last Decade
Fields of papers citing papers by Xiaoran Long
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 Xiaoran Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoran Long may publish in the future.
Countries citing papers authored by Xiaoran Long
Since SpecializationCitations
This map shows the geographic impact of Xiaoran Long'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 Xiaoran Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoran Long more than expected).
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