Xiaoli Gao

About

Xiaoli Gao is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Xiaoli Gao has authored 30 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Artificial Intelligence. Recurrent topics in Xiaoli Gao’s work include Mercury impact and mitigation studies (4 papers), Melamine detection and toxicity (4 papers) and CAR-T cell therapy research (3 papers). Xiaoli Gao is often cited by papers focused on Mercury impact and mitigation studies (4 papers), Melamine detection and toxicity (4 papers) and CAR-T cell therapy research (3 papers). Xiaoli Gao collaborates with scholars based in China, United States and India. Xiaoli Gao's co-authors include Keqing Shi, Yide Ma, Ying Sun and Shuting Ren and has published in prestigious journals such as Blood, The Journal of Immunology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Xiaoli Gao

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

Countries citing papers authored by Xiaoli Gao

Since Specialization

Citations

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

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