Kai S. Yang

38 papers and 1.2k indexed citations i.

About

Kai S. Yang is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Kai S. Yang has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Infectious Diseases and 12 papers in Computational Theory and Mathematics. Recurrent topics in Kai S. Yang’s work include Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and NF-κB Signaling Pathways (4 papers). Kai S. Yang is often cited by papers focused on Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and NF-κB Signaling Pathways (4 papers). Kai S. Yang collaborates with scholars based in China, United States and Italy. Kai S. Yang's co-authors include Chen Wang, Shaogang Sun, Bianhong Zhang, Shiqing Xu, Wenshe Ray Liu, Yujie Tang, Bo Wei, Xing Liu, Bo Wei and She Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Kai S. Yang i

Fields of papers citing papers by Kai S. Yang

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

Countries citing papers authored by Kai S. Yang

Since Specialization
Citations

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

Rankless by CCL
2025