Nay Win

About

Nay Win is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, Nay Win has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Hematology, 22 papers in Physiology and 20 papers in Genetics. Recurrent topics in Nay Win’s work include Blood groups and transfusion (39 papers), Erythrocyte Function and Pathophysiology (22 papers) and Hemoglobinopathies and Related Disorders (19 papers). Nay Win is often cited by papers focused on Blood groups and transfusion (39 papers), Erythrocyte Function and Pathophysiology (22 papers) and Hemoglobinopathies and Related Disorders (19 papers). Nay Win collaborates with scholars based in United Kingdom, Nigeria and Japan. Nay Win's co-authors include Hisami Watanabe, Reiko Saito, Htay Htay Tin, G. Lucas and C. Chapman and has published in prestigious journals such as Blood, British Journal of Haematology and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Fields of papers citing papers by Nay Win

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

Countries citing papers authored by Nay Win

Since Specialization

Citations

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

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