Gang Nan

About

Gang Nan is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Gang Nan has authored 24 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Gang Nan’s work include Signaling Pathways in Disease (10 papers), Galectins and Cancer Biology (4 papers) and Cell Adhesion Molecules Research (3 papers). Gang Nan is often cited by papers focused on Signaling Pathways in Disease (10 papers), Galectins and Cancer Biology (4 papers) and Cell Adhesion Molecules Research (3 papers). Gang Nan collaborates with scholars based in China, The Netherlands and United States. Gang Nan's co-authors include Zhi‐Nan Chen, Huijie Bian, Xiuxuan Sun, Jian‐Li Jiang and Jiao Wu and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Gang Nan

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

Countries citing papers authored by Gang Nan

Since Specialization

Citations

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

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