Fei Da

About

Fei Da is a scholar working on Molecular Biology, Oceanography and Infectious Diseases. According to data from OpenAlex, Fei Da has authored 34 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oceanography and 6 papers in Infectious Diseases. Recurrent topics in Fei Da’s work include Marine and coastal ecosystems (9 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Ocean Acidification Effects and Responses (6 papers). Fei Da is often cited by papers focused on Marine and coastal ecosystems (9 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Ocean Acidification Effects and Responses (6 papers). Fei Da collaborates with scholars based in China, United States and Australia. Fei Da's co-authors include Marjorie A. M. Friedrichs, Xiaoxing Luo, Xiaoyan Xue, Zheng Hou and Raymond G. Najjar and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Fei Da

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

Countries citing papers authored by Fei Da

Since Specialization

Citations

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

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