Xin Long

About

Xin Long is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Xin Long has authored 28 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Xin Long’s work include Cancer, Lipids, and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Microtubule and mitosis dynamics (5 papers). Xin Long is often cited by papers focused on Cancer, Lipids, and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Microtubule and mitosis dynamics (5 papers). Xin Long collaborates with scholars based in China, Ireland and Switzerland. Xin Long's co-authors include Zhili Liu, Ai Peng, Yang Zhou, Shan Huang and Yong Shu and has published in prestigious journals such as Nature Structural & Molecular Biology, Environment International and Organic & Biomolecular Chemistry.

In The Last Decade

Fields of papers citing papers by Xin Long

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

Countries citing papers authored by Xin Long

Since Specialization

Citations

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

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