Wei Deng
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA modifications and cancer 8
- RNA Research and Splicing 7
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- DNA and Nucleic Acid Chemistry 4
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 7
- Co-authors
- Fred H. Gage (1 shared paper)Maria C. Marchetto (1 shared paper)John V. Moran (1 shared paper)Vi Chu (1 shared paper)Alysson R. Muotri (1 shared paper)Runsheng Chen (8 shared papers)Di Jiang (4 shared papers)Chuan Qin (5 shared papers)
- Journals
- PLoS ONE (3 papers)Nucleic Acids Research (3 papers)Molecular BioSystems (2 papers)Genome Research (2 papers)Chemical Communications (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Wei Deng
57 papers receiving 2.5k citations
Wei Deng's Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 516
- Molecular Biology 1.7k
- Aging 37
- Plant Science 585
- Developmental Neuroscience 54
Countries citing papers authored by Wei Deng
This map shows the geographic impact of Wei Deng'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 Wei Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Deng more than expected).
Fields of papers citing papers by Wei Deng
This network shows the impact of papers produced by Wei Deng. 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 Wei Deng. The network helps show where Wei Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Deng, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Somatic mosaicism in neuronal precursor cells mediated by L1 retrotransposition Hit paper breakdown → | 2005 | 685 |
| 2 | 2010 | 118 | |
| 3 | 2011 | 97 | |
| 4 | 2005 | 96 | |
| 5 | 2007 | 94 | |
| 6 | 2013 | 93 | |
| 7 | 2020 | 84 | |
| 8 | 2020 | 74 | |
| 9 | 2007 | 61 | |
| 10 | 2008 | 59 | |
| 11 | 2012 | 59 | |
| 12 | 2008 | 56 | |
| 13 | 2016 | 54 | |
| 14 | 2011 | 53 | |
| 15 | 2014 | 52 | |
| 16 | 2016 | 51 | |
| 17 | 2007 | 48 | |
| 18 | 2018 | 44 | |
| 19 | 2004 | 42 | |
| 20 | 2013 | 36 |
About Wei Deng
Wei Deng is a scholar working on Molecular Biology, Cancer Research, Plant Science, Genetics and Biomedical Engineering, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Chromosomal and Genetic Variations (5 papers), RNA Interference and Gene Delivery (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Cancer Research (516 citations), Molecular Biology (1.7k citations), Aging (37 citations), Plant Science (585 citations) and Developmental Neuroscience (54 citations). Wei Deng has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Fred H. Gage, Maria C. Marchetto, John V. Moran, Vi Chu, Alysson R. Muotri, Runsheng Chen, Di Jiang, Chuan Qin, Hua Zhu and Wei Ding. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Molecular BioSystems, Genome Research and Chemical Communications.
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.