Da Gao

About

Da Gao is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Da Gao has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Reproductive Medicine. Recurrent topics in Da Gao’s work include Pain Mechanisms and Treatments (3 papers), Reproductive Biology and Fertility (3 papers) and Pain Management and Opioid Use (2 papers). Da Gao is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Reproductive Biology and Fertility (3 papers) and Pain Management and Opioid Use (2 papers). Da Gao collaborates with scholars based in China and United States. Da Gao's co-authors include Yan-Guang Wu, S. Scott Bowersox, Jing‐He Tan and Barbara S. Bregman and has published in prestigious journals such as Nature, PLoS ONE and Pain.

In The Last Decade

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

Countries citing papers authored by Da Gao

Since Specialization

Citations

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

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