Gao

35 papers and 254 indexed citations i.

About

Gao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Geology. According to data from OpenAlex, Gao has authored 35 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Geology. Recurrent topics in Gao’s work include Geological and Geophysical Studies (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Nerve injury and regeneration (4 papers). Gao is often cited by papers focused on Geological and Geophysical Studies (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Nerve injury and regeneration (4 papers). Gao collaborates with scholars based in and . Gao's co-authors include Song, Xiaomin, Fang, Dai, Shuang, LI -, Li -, Liu -, Shi and Ye and has published in prestigious journals such as 中国生物学文摘, 地质学报:英文版 and 中国天然药物.

In The Last Decade

Co-authorship network of co-authors of Gao i

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

Countries citing papers authored by Gao

Since Specialization
Citations

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

Rankless by CCL
2025