Gang Lin
About
Gang Lin is a scholar working on Molecular Biology, Oncology and Infectious Diseases.
According to data from OpenAlex, Gang Lin has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Oncology and 10 papers in Infectious Diseases. Recurrent topics in Gang Lin’s work include Ubiquitin and proteasome pathways (27 papers), Biochemical and Molecular Research (16 papers) and Peptidase Inhibition and Analysis (15 papers). Gang Lin is often cited by papers focused on Ubiquitin and proteasome pathways (27 papers), Biochemical and Molecular Research (16 papers) and Peptidase Inhibition and Analysis (15 papers). Gang Lin collaborates with scholars based in United States, China and United Kingdom. Gang Lin's co-authors include Carl Nathan, Huilin Li, Wenhu Zhan, Xiuju Jiang and Hao Fan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
In The Last Decade
Fields of papers citing papers by Gang Lin
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 Gang Lin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Gang Lin may publish in the future.
Countries citing papers authored by Gang Lin
Since SpecializationCitations
This map shows the geographic impact of Gang Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Lin more than expected).
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