Bing Ma

About

Bing Ma is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Bing Ma has authored 98 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 34 papers in Microbiology and 29 papers in Epidemiology. Recurrent topics in Bing Ma’s work include Gut microbiota and health (37 papers), Reproductive tract infections research (33 papers) and Urinary Tract Infections Management (17 papers). Bing Ma is often cited by papers focused on Gut microbiota and health (37 papers), Reproductive tract infections research (33 papers) and Urinary Tract Infections Management (17 papers). Bing Ma collaborates with scholars based in United States, China and Canada. Bing Ma's co-authors include Jacques Ravel, Pawel Gajer, Rebecca M. Brotman, Michael France and Jiang Chang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nano Letters.

In The Last Decade

Fields of papers citing papers by Bing Ma

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

Countries citing papers authored by Bing Ma

Since Specialization

Citations

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

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