Xin Ge

About

Xin Ge is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xin Ge has authored 25 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Oncology. Recurrent topics in Xin Ge’s work include Ubiquitin and proteasome pathways (9 papers), interferon and immune responses (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Xin Ge is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), interferon and immune responses (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Xin Ge collaborates with scholars based in China and United States. Xin Ge's co-authors include Weijuan Pan, Jiali Jin, Xinbo Wang and Xiao Tan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Communications.

In The Last Decade

Fields of papers citing papers by Xin Ge

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

Countries citing papers authored by Xin Ge

Since Specialization

Citations

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

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