Thein Z. Win

11 papers and 320 indexed citations i.

About

Thein Z. Win is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thein Z. Win has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thein Z. Win’s work include Fungal and yeast genetics research (7 papers), Cardiomyopathy and Myosin Studies (5 papers) and Genetic Neurodegenerative Diseases (4 papers). Thein Z. Win is often cited by papers focused on Fungal and yeast genetics research (7 papers), Cardiomyopathy and Myosin Studies (5 papers) and Genetic Neurodegenerative Diseases (4 papers). Thein Z. Win collaborates with scholars based in United Kingdom. Thein Z. Win's co-authors include Jeremy S. Hyams, Daniel P. Mulvihill, Shao-Win Wang, Karen May, Chris J. Norbury, Yannick Gachet, Ian D. Hickson, Rebecca L. Read, Simon J. Draper and Hocine W Mankouri and has published in prestigious journals such as Molecular and Cellular Biology, Current Biology and Journal of Cell Science.

In The Last Decade

Co-authorship network of co-authors of Thein Z. Win i

Fields of papers citing papers by Thein Z. Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thein Z. Win. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thein Z. Win. The network helps show where Thein Z. Win may publish in the future.

Countries citing papers authored by Thein Z. Win

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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