Mi Bai

34 papers and 830 indexed citations i.

About

Mi Bai is a scholar working on Nephrology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Mi Bai has authored 34 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nephrology, 17 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Mi Bai’s work include Renal Diseases and Glomerulopathies (8 papers), Chronic Kidney Disease and Diabetes (7 papers) and Acute Kidney Injury Research (6 papers). Mi Bai is often cited by papers focused on Renal Diseases and Glomerulopathies (8 papers), Chronic Kidney Disease and Diabetes (7 papers) and Acute Kidney Injury Research (6 papers). Mi Bai collaborates with scholars based in China and United States. Mi Bai's co-authors include Zhanjun Jia, Songming Huang, Aihua Zhang, Guixia Ding and Min Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Applied Catalysis B Environment and Energy and Kidney International.

In The Last Decade

Fields of papers citing papers by Mi 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 Mi Bai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mi Bai may publish in the future.

Countries citing papers authored by Mi Bai

Since Specialization
Citations

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

Rankless by CCL
2025