Daniel Do

About

Daniel Do is a scholar working on Surgery, Molecular Biology and Cell Biology. According to data from OpenAlex, Daniel Do has authored 12 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Daniel Do’s work include Pluripotent Stem Cells Research (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Cardiovascular and exercise physiology (2 papers). Daniel Do is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Cardiovascular and exercise physiology (2 papers). Daniel Do collaborates with scholars based in United States, Australia and South Korea. Daniel Do's co-authors include David M. Langenau, Guillermo Sangster, Chuan Yan, Victor F. Froelicher and John F. Rawls and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Cancer Research.

In The Last Decade

Fields of papers citing papers by Daniel Do

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

Countries citing papers authored by Daniel Do

Since Specialization

Citations

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

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