Kai Long
About
Kai Long is a scholar working on Molecular Biology, Cell Biology and Immunology.
According to data from OpenAlex, Kai Long has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Kai Long’s work include Endoplasmic Reticulum Stress and Disease (4 papers), RNA regulation and disease (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Kai Long is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), RNA regulation and disease (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Kai Long collaborates with scholars based in China, United States and India. Kai Long's co-authors include Junying Yuan, Dawei Ma, Michael Boyce, Xiao‐Ming Gao and Hongliang Dong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Immunity.
In The Last Decade
Fields of papers citing papers by Kai Long
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 Long. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kai Long may publish in the future.
Countries citing papers authored by Kai Long
Since SpecializationCitations
This map shows the geographic impact of Kai Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Long more than expected).
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