Kaikai Wu

About

Kaikai Wu is a scholar working on Molecular Biology, Pharmacology and Rheumatology. According to data from OpenAlex, Kaikai Wu has authored 12 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Rheumatology. Recurrent topics in Kaikai Wu’s work include GDF15 and Related Biomarkers (4 papers), Fungal Biology and Applications (3 papers) and Vitamin D Research Studies (2 papers). Kaikai Wu is often cited by papers focused on GDF15 and Related Biomarkers (4 papers), Fungal Biology and Applications (3 papers) and Vitamin D Research Studies (2 papers). Kaikai Wu collaborates with scholars based in China and Taiwan. Kaikai Wu's co-authors include Xingya Wang, Kun Na, Tingting Sang, Kang Li, Cuiling Guo, Chengjie Guo, Liu Fang, Dandan Guo, Jian Wu and Ying Wang and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Carbohydrate Polymers.

In The Last Decade

Co-authorship network of co-authors of Kaikai Wu i

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Fields of papers citing papers by Kaikai Wu

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

Countries citing papers authored by Kaikai Wu

Since Specialization

Citations

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

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