Kai Tan

About

Kai Tan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kai Tan has authored 88 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 14 papers in Immunology and 13 papers in Oncology. Recurrent topics in Kai Tan’s work include Genomics and Chromatin Dynamics (23 papers), Single-cell and spatial transcriptomics (15 papers) and Bioinformatics and Genomic Networks (12 papers). Kai Tan is often cited by papers focused on Genomics and Chromatin Dynamics (23 papers), Single-cell and spatial transcriptomics (15 papers) and Bioinformatics and Genomic Networks (12 papers). Kai Tan collaborates with scholars based in United States, China and United Kingdom. Kai Tan's co-authors include Bing He, Changya Chen, Long Gao and Nancy A. Speck and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Fields of papers citing papers by Kai Tan

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

Countries citing papers authored by Kai Tan

Since Specialization

Citations

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

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