Mi Yang

30 papers and 1.3k indexed citations i.

About

Mi Yang is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Mi Yang has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Plant Science and 5 papers in Oncology. Recurrent topics in Mi Yang’s work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers) and RNA modifications and cancer (3 papers). Mi Yang is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers) and RNA modifications and cancer (3 papers). Mi Yang collaborates with scholars based in United States, China and Germany. Mi Yang's co-authors include Brad St. Croix, Steven Seaman, Daniel Logsdon, Janine Stevens, Cari Graff‐Cherry, Julio Sáez-Rodríguez, Amit Chaudhary, Lino Tessarollo, Diana C. Haines and Mary Beth Hilton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Cell and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Mi Yang i

Fields of papers citing papers by Mi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Yang. 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 Mi Yang. The network helps show where Mi Yang may publish in the future.

Countries citing papers authored by Mi Yang

Since Specialization
Citations

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