Kaida Wu
About
Kaida Wu is a scholar working on Hematology, Molecular Biology and Oncology.
According to data from OpenAlex, Kaida Wu has authored 36 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 14 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Kaida Wu’s work include Multiple Myeloma Research and Treatments (16 papers), Telomeres, Telomerase, and Senescence (9 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Kaida Wu is often cited by papers focused on Multiple Myeloma Research and Treatments (16 papers), Telomeres, Telomerase, and Senescence (9 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Kaida Wu collaborates with scholars based in United States, France and Denmark. Kaida Wu's co-authors include Malcolm A.S. Moore, Jordan M. Schecter, Kristian Thestrup‐Pedersen, Jesús F. San Miguel and Christopher Chiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
In The Last Decade
Fields of papers citing papers by Kaida Wu
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 Kaida Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kaida Wu may publish in the future.
Countries citing papers authored by Kaida Wu
Since SpecializationCitations
This map shows the geographic impact of Kaida 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 Kaida Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaida Wu more than expected).
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