Kai Lin
About
Kai Lin is a scholar working on Molecular Biology, Materials Chemistry and Food Science.
According to data from OpenAlex, Kai Lin has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Materials Chemistry and 15 papers in Food Science. Recurrent topics in Kai Lin’s work include Probiotics and Fermented Foods (11 papers), TGF-β signaling in diseases (8 papers) and Enzyme Structure and Function (8 papers). Kai Lin is often cited by papers focused on Probiotics and Fermented Foods (11 papers), TGF-β signaling in diseases (8 papers) and Enzyme Structure and Function (8 papers). Kai Lin collaborates with scholars based in China, United States and India. Kai Lin's co-authors include Suvana S. Lam, John J. Correia, Bin Qin, Xue Han, Hema Srinath, Benoy M. Chacko, Lanwei Zhang, Dayou Cheng, Bin Qin and Rik Derynck and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Journal of Biological Chemistry.
In The Last Decade
Co-authorship network of co-authors of Kai Lin i
Fields of papers citing papers by Kai 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 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 SpecializationCitations
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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