Jin Li
About
Jin Li is a scholar working on Molecular Biology, Genetics and Epidemiology.
According to data from OpenAlex, Jin Li has authored 2.4k papers receiving a total of 66.6k indexed citations (citations by other indexed papers that have themselves been cited), including 931 papers in Molecular Biology, 490 papers in Genetics and 241 papers in Epidemiology. Recurrent topics in Jin Li’s work include Forensic and Genetic Research (146 papers), Genetic Associations and Epidemiology (113 papers) and Cancer-related molecular mechanisms research (98 papers). Jin Li is often cited by papers focused on Forensic and Genetic Research (146 papers), Genetic Associations and Epidemiology (113 papers) and Cancer-related molecular mechanisms research (98 papers). Jin Li collaborates with scholars based in China, United States and United Kingdom. Jin Li's co-authors include Ranajit Chakraborty, Jiucun Wang, Daru Lu, Yajun Yang and Ranjan Deka and has published in prestigious journals such as Nature, Science and Cell.
In The Last Decade
Fields of papers citing papers by Jin Li
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 Jin Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jin Li may publish in the future.
Countries citing papers authored by Jin Li
Since SpecializationCitations
This map shows the geographic impact of Jin Li'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 Jin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Li more than expected).
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