Kai Lin

About

Kai Lin is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Kai Lin has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hepatology, 24 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Kai Lin’s work include Hepatitis C virus research (27 papers), Hepatitis B Virus Studies (15 papers) and Signaling Pathways in Disease (11 papers). Kai Lin is often cited by papers focused on Hepatitis C virus research (27 papers), Hepatitis B Virus Studies (15 papers) and Signaling Pathways in Disease (11 papers). Kai Lin collaborates with scholars based in United States, Switzerland and Singapore. Kai Lin's co-authors include Chao Lin, Ann D. Kwong, Robert B. Perni, Sue Ma, Philippe Gallay, Robert P. Ricciardi, Yunyi Wei, Cynthia A. Gates, Yu-Ping Luong and B. Govinda Rao and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Kai Lin i

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Fields of papers citing papers by Kai Lin

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

Countries citing papers authored by Kai Lin

Since Specialization

Citations

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

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