Xiaoli Long
About
Xiaoli Long is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine.
According to data from OpenAlex, Xiaoli Long has authored 19 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoli Long’s work include Head and Neck Cancer Studies (4 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoli Long is often cited by papers focused on Head and Neck Cancer Studies (4 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoli Long collaborates with scholars based in China. Xiaoli Long's co-authors include Jun Zhou, Xunhua Liu, Jian‐Xiong Chen, Mei Shi and Xiaoting Liu and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Experimental Cell Research.
In The Last Decade
Fields of papers citing papers by Xiaoli 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 Xiaoli Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Long may publish in the future.
Countries citing papers authored by Xiaoli Long
Since SpecializationCitations
This map shows the geographic impact of Xiaoli 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 Xiaoli Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Long more than expected).
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