Xin Gan

About

Xin Gan is a scholar working on Molecular Biology, Endocrinology and Food Science. According to data from OpenAlex, Xin Gan has authored 26 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Endocrinology and 6 papers in Food Science. Recurrent topics in Xin Gan’s work include Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Enterobacteriaceae and Cronobacter Research (5 papers). Xin Gan is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Enterobacteriaceae and Cronobacter Research (5 papers). Xin Gan collaborates with scholars based in China, Ireland and United States. Xin Gan's co-authors include Fengqin Li, Jin Xu, Yujie Hu, Séamus Fanning and Yinping Dong and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Xin Gan

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

Countries citing papers authored by Xin Gan

Since Specialization

Citations

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

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