Xiaoman Bi

About

Xiaoman Bi is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Xiaoman Bi has authored 27 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Materials Chemistry. Recurrent topics in Xiaoman Bi’s work include Molecular Sensors and Ion Detection (5 papers), RNA modifications and cancer (5 papers) and Bioinformatics and Genomic Networks (4 papers). Xiaoman Bi is often cited by papers focused on Molecular Sensors and Ion Detection (5 papers), RNA modifications and cancer (5 papers) and Bioinformatics and Genomic Networks (4 papers). Xiaoman Bi collaborates with scholars based in China, United States and Hong Kong. Xiaoman Bi's co-authors include Kongning Li, Deng Wu, Yi Pang, Nana Jin and Bin Liu and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Chemical Communications.

In The Last Decade

Fields of papers citing papers by Xiaoman Bi

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

Countries citing papers authored by Xiaoman Bi

Since Specialization

Citations

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

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