En-Duo Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 12
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 3
-
- Transgenic Plants and Applications 2
- Co-authors
- Mo‐Fang Liu (4 shared papers)Hong-Wei Zhang (2 shared papers)Shuai Jiang (2 shared papers)Yong Li (2 shared papers)Hua Gu (1 shared paper)Dangsheng Li (2 shared papers)Biao Li (1 shared paper)Song Hu (1 shared paper)
- Journals
- Biochemistry (4 papers)Biological Chemistry (2 papers)FEBS Letters (2 papers)Protein Expression and Purification (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
En-Duo Wang
18 papers receiving 1.6k citations
En-Duo Wang's Hit Papers
Peers
Comparison fields: 5 of 79
- Cancer Research 747
- Molecular Biology 1.2k
- Aging 17
- Plant Science 288
- Reproductive Medicine 44
Countries citing papers authored by En-Duo Wang
This map shows the geographic impact of En-Duo 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 En-Duo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites En-Duo Wang more than expected).
Fields of papers citing papers by En-Duo Wang
This network shows the impact of papers produced by En-Duo 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 En-Duo Wang. The network helps show where En-Duo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside En-Duo 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
| # | Work | ||
|---|---|---|---|
| 1 | MicroRNA-155 Functions as an OncomiR in Breast Cancer by Targeting the Suppressor of Cytokine Signaling 1 Gene Hit paper breakdown → | 2010 | 593 |
| 2 | 2014 | 342 | |
| 3 | 2012 | 310 | |
| 4 | 2000 | 108 | |
| 5 | 2013 | 101 | |
| 6 | 2005 | 41 | |
| 7 | 2006 | 27 | |
| 8 | 1999 | 12 | |
| 9 | 1998 | 12 | |
| 10 | 1998 | 12 | |
| 11 | 2003 | 10 | |
| 12 | 1999 | 9 | |
| 13 | 2010 | 8 | |
| 14 | 2001 | 8 | |
| 15 | 1998 | 7 | |
| 16 | 2003 | 6 | |
| 17 | 1999 | 6 | |
| 18 | 2003 | 4 |
About En-Duo Wang
En-Duo Wang is a scholar working on Molecular Biology, Biotechnology, Immunology, Cancer Research and Materials Chemistry, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (10 papers), Enzyme Structure and Function (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Genomics and Phylogenetic Studies (3 papers), MicroRNA in disease regulation (3 papers), Chromosomal and Genetic Variations (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Cancer Research (747 citations), Molecular Biology (1.2k citations), Aging (17 citations), Plant Science (288 citations) and Reproductive Medicine (44 citations). En-Duo Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mo‐Fang Liu, Hong-Wei Zhang, Shuai Jiang, Yong Li, Hua Gu, Dangsheng Li, Biao Li, Song Hu, Sheng Liang and Min-Min Hua. Their work appears in journals such as Biochemistry, Biological Chemistry, FEBS Letters, Protein Expression and Purification and Cell Research.
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.