En‐Duo Wang
Impact in
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
- Aging top 10%
Papers in
-
- RNA and protein synthesis mechanisms 93
- RNA modifications and cancer 20
- Mitochondrial Function and Pathology 2
- RNA Research and Splicing 2
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- Enzyme Production and Characterization 4
- Co-authors
- Xiao-Long Zhou (46 shared papers)Ru‐Juan Liu (25 shared papers)Gilbert Eriani (24 shared papers)Bin Zhu (10 shared papers)Zhipeng Fang (14 shared papers)Jing Li (5 shared papers)Tao Long (5 shared papers)Yong Wang (8 shared papers)
- Journals
- Nucleic Acids Research (31 papers)Journal of Biological Chemistry (17 papers)Biochemical Journal (8 papers)Biochemistry (6 papers)Protein Expression and Purification (5 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
En‐Duo Wang
118 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.1k
- Aging 21
- Biotechnology 70
- Clinical Biochemistry 39
- Cancer Research 66
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
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 127 | |
| 2 | 2017 | 95 | |
| 3 | 2021 | 91 | |
| 4 | 2013 | 77 | |
| 5 | 2016 | 61 | |
| 6 | 1999 | 57 | |
| 7 | 1999 | 53 | |
| 8 | 2008 | 49 | |
| 9 | 2009 | 49 | |
| 10 | 2010 | 48 | |
| 11 | 2015 | 48 | |
| 12 | 2015 | 47 | |
| 13 | 2016 | 45 | |
| 14 | 2020 | 45 | |
| 15 | 2008 | 43 | |
| 16 | 2016 | 42 | |
| 17 | 1999 | 41 | |
| 18 | 2013 | 41 | |
| 19 | 2020 | 40 | |
| 20 | 2018 | 39 |
About En‐Duo Wang
En‐Duo Wang is a scholar working on Molecular Biology, Biotechnology, Biochemistry, Molecular Medicine and Cell Biology, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (93 papers), RNA modifications and cancer (20 papers), Enzyme Production and Characterization (4 papers), Hereditary Neurological Disorders (2 papers), Mitochondrial Function and Pathology (2 papers), RNA Research and Splicing (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Aging (21 citations), Biotechnology (70 citations), Clinical Biochemistry (39 citations) and Cancer Research (66 citations). En‐Duo Wang has collaborated with scholars based in China, France and United States. Frequent co-authors include Xiao-Long Zhou, Ru‐Juan Liu, Gilbert Eriani, Bin Zhu, Zhipeng Fang, Jing Li, Tao Long, Yong Wang, Peng Yao and Yong Li. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Biochemical Journal, Biochemistry and Protein Expression and Purification.
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.