Won‐Mo Yang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Metabolism, Diabetes, and Cancer
Papers in ⓘ
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- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 11
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- Regulation of Appetite and Obesity 2
- Co-authors
- Wan Lee (15 shared papers)Hyo‐Jin Jeong (5 shared papers)Seung‐Yoon Park (4 shared papers)Young‐Won Chin (1 shared paper)Joo‐Hyun Nam (1 shared paper)Hyo Won Jung (1 shared paper)Woo Kyung Kim (1 shared paper)Kellen Cristina da Cruz Rodrigues (3 shared papers)
- Journals
- Data in Brief (6 papers)Biochemical and Biophysical Research Communications (4 papers)FEBS Letters (2 papers)Molecular Metabolism (2 papers)American Journal of Physiology-Endocrinology and Metabolism (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Won‐Mo Yang
21 papers receiving 482 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 308
- Molecular Biology 316
- Physiology 86
- Sensory Systems 9
- Equine 3
Countries citing papers authored by Won‐Mo Yang
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).
Fields of papers citing papers by Won‐Mo Yang
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.
Co-authors
The 25 scholars most cited alongside Won‐Mo Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 84 | |
| 2 | 2015 | 74 | |
| 3 | 2014 | 62 | |
| 4 | 2016 | 52 | |
| 5 | 2013 | 35 | |
| 6 | 2013 | 33 | |
| 7 | 2018 | 32 | |
| 8 | 2016 | 25 | |
| 9 | 2014 | 21 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 12 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2022 | 2 |
About Won‐Mo Yang
Won‐Mo Yang is a scholar working on Cancer Research, Endocrine and Autonomic Systems, Physiology, Sensory Systems and Molecular Biology, having authored 21 papers that have together received 486 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (8 papers), Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (2 papers), RNA modifications and cancer (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Cancer Research (308 citations), Molecular Biology (316 citations), Physiology (86 citations), Sensory Systems (9 citations) and Equine (3 citations). Won‐Mo Yang has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Wan Lee, Hyo‐Jin Jeong, Seung‐Yoon Park, Young‐Won Chin, Joo‐Hyun Nam, Hyo Won Jung, Woo Kyung Kim, Kellen Cristina da Cruz Rodrigues, Hyon Lee and Young‐Bum Kim. Their work appears in journals such as Data in Brief, Biochemical and Biophysical Research Communications, FEBS Letters, Molecular Metabolism and American Journal of Physiology-Endocrinology and Metabolism.
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.