Eugenia Wang
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cell death mechanisms and regulation 12
- Circular RNAs in diseases 10
- Ubiquitin and proteasome pathways 8
- RNA Research and Splicing 8
- RNA modifications and cancer 8
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- MicroRNA in disease regulation 19
- Co-authors
- Olivier Maës (8 shared papers)Harshini Sarojini (12 shared papers)Hyman M. Schipper (14 shared papers)Ruqiang Liang (8 shared papers)Jin An (6 shared papers)Richard Marcotte (7 shared papers)Howard Chertkow (5 shared papers)Siyaram Pandey (5 shared papers)
- Journals
- Journal of Cellular Biochemistry (12 papers)Journal of Cellular Physiology (8 papers)Experimental Cell Research (7 papers)Mechanisms of Ageing and Development (7 papers)Experimental Gerontology (6 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Eugenia Wang
109 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 147
- Aging 253
- Cancer Research 1.3k
- Molecular Biology 3.0k
- Physiology 868
- Neurology 192
Countries citing papers authored by Eugenia Wang
This map shows the geographic impact of Eugenia Wang'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 Eugenia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Wang more than expected).
Fields of papers citing papers by Eugenia Wang
This network shows the impact of papers produced by Eugenia Wang. 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 Eugenia Wang. The network helps show where Eugenia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugenia Wang, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 207 | |
| 2 | 2011 | 179 | |
| 3 | 2009 | 178 | |
| 4 | 1980 | 169 | |
| 5 | 2006 | 157 | |
| 6 | 2008 | 155 | |
| 7 | 2006 | 150 | |
| 8 | 2006 | 148 | |
| 9 | 2011 | 138 | |
| 10 | 2006 | 136 | |
| 11 | 2014 | 128 | |
| 12 | 1995 | 127 | |
| 13 | 2016 | 118 | |
| 14 | 2009 | 118 | |
| 15 | 2004 | 115 | |
| 16 | 2002 | 114 | |
| 17 | 2009 | 114 | |
| 18 | 2006 | 109 | |
| 19 | 2011 | 107 | |
| 20 | 2004 | 106 |
About Eugenia Wang
Eugenia Wang is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Cell Biology, having authored 110 papers that have together received 5.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (19 papers), Telomeres, Telomerase, and Senescence (12 papers), Cell death mechanisms and regulation (12 papers), Circular RNAs in diseases (10 papers), Ubiquitin and proteasome pathways (8 papers), RNA Research and Splicing (8 papers), Cancer-related Molecular Pathways (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Aging (253 citations), Cancer Research (1.3k citations), Molecular Biology (3.0k citations), Physiology (868 citations) and Neurology (192 citations). Eugenia Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Olivier Maës, Harshini Sarojini, Hyman M. Schipper, Ruqiang Liang, Jin An, Richard Marcotte, Howard Chertkow, Siyaram Pandey, Paul H. Matter and Umit S. Ozkan. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Cellular Physiology, Experimental Cell Research, Mechanisms of Ageing and Development and Experimental Gerontology.
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.