Ou Bai

73 papers and 1.6k indexed citations i.

About

Ou Bai is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Ou Bai has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pathology and Forensic Medicine, 25 papers in Molecular Biology and 24 papers in Oncology. Recurrent topics in Ou Bai’s work include Lymphoma Diagnosis and Treatment (28 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Viral-associated cancers and disorders (13 papers). Ou Bai is often cited by papers focused on Lymphoma Diagnosis and Treatment (28 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Viral-associated cancers and disorders (13 papers). Ou Bai collaborates with scholars based in China, United States and Canada. Ou Bai's co-authors include Jim Xiang, Xingtong Wang, Jinying Yuan and Robert C.G. Martin and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Ou Bai

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

Countries citing papers authored by Ou Bai

Since Specialization
Citations

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

Rankless by CCL
2025