Won‐Mo Yang

21 papers and 460 indexed citations i.

About

Won‐Mo Yang is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Won‐Mo Yang has authored 21 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Physiology. Recurrent topics in Won‐Mo Yang’s work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers) and Circular RNAs in diseases (8 papers). Won‐Mo Yang is often cited by papers focused on MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers) and Circular RNAs in diseases (8 papers). Won‐Mo Yang collaborates with scholars based in South Korea, United States and Australia. Won‐Mo Yang's co-authors include Wan Lee, Hyo‐Jin Jeong, Seung‐Yoon Park, Woo Kyung Kim, Joo‐Hyun Nam, Young‐Won Chin, Hyo Won Jung, Kellen Cristina da Cruz Rodrigues, Hyon Lee and Young‐Bum Kim and has published in prestigious journals such as Nature Communications, PLoS ONE and Diabetes.

In The Last Decade

Co-authorship network of co-authors of Won‐Mo Yang i

Fields of papers citing papers by Won‐Mo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Won‐Mo Yang

Since Specialization
Citations

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