Chenchun Weng
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
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- RNA modifications and cancer 5
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Chromosomal and Genetic Variations 4
- Co-authors
- Xuezhu Feng (7 shared papers)Shouhong Guang (7 shared papers)Chengming Zhu (5 shared papers)Hui Mao (3 shared papers)Ben Lehner (1 shared paper)Albert Escobedo (1 shared paper)André J. Faure (1 shared paper)Yan Qi (2 shared papers)
- Journals
- Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genes & Development (1 paper)BMC Biology (1 paper)Current Biology (1 paper)
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Chenchun Weng
11 papers receiving 415 citations
Peers
Comparison fields: 5 of 48
- Aging 122
- Molecular Biology 314
- Cancer Research 41
- Plant Science 86
- Immunology 49
Countries citing papers authored by Chenchun Weng
This map shows the geographic impact of Chenchun Weng'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 Chenchun Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchun Weng more than expected).
Fields of papers citing papers by Chenchun Weng
This network shows the impact of papers produced by Chenchun Weng. 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 Chenchun Weng. The network helps show where Chenchun Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchun Weng, 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 | 2015 | 89 | |
| 2 | 2018 | 65 | |
| 3 | 2015 | 61 | |
| 4 | 2023 | 55 | |
| 5 | 2018 | 40 | |
| 6 | 2018 | 31 | |
| 7 | 2017 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2025 | 1 |
About Chenchun Weng
Chenchun Weng is a scholar working on Molecular Biology, Plant Science, Aging, Cancer Research and Oncology, having authored 11 papers that have together received 417 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (4 papers), RNA Research and Splicing (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), MicroRNA in disease regulation (1 paper), RNA and protein synthesis mechanisms (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Aging (122 citations), Molecular Biology (314 citations), Cancer Research (41 citations), Plant Science (86 citations) and Immunology (49 citations). Chenchun Weng has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Xuezhu Feng, Shouhong Guang, Chengming Zhu, Hui Mao, Ben Lehner, Albert Escobedo, André J. Faure, Yan Qi, Xiangyang Chen and Xiangwei Yang. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Genes & Development, BMC Biology and Current Biology.
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.