Xing Jin
About
Xing Jin is a scholar working on Molecular Biology, Materials Chemistry and Cancer Research.
According to data from OpenAlex, Xing Jin has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Materials Chemistry and 11 papers in Cancer Research. Recurrent topics in Xing Jin’s work include Metabolomics and Mass Spectrometry Studies (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Molecular Sensors and Ion Detection (5 papers). Xing Jin is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Molecular Sensors and Ion Detection (5 papers). Xing Jin collaborates with scholars based in China, South Korea and United States. Xing Jin's co-authors include Sunghyouk Park, Qin Luo, Wen‐Lian Chen, Lili Cai and Yong An and has published in prestigious journals such as Nature Communications, Development and Cancer Research.
In The Last Decade
Fields of papers citing papers by Xing Jin
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 Xing Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xing Jin may publish in the future.
Countries citing papers authored by Xing Jin
Since SpecializationCitations
This map shows the geographic impact of Xing Jin'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 Xing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Jin more than expected).
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