Daojun Cheng
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 5
- Ubiquitin and proteasome pathways 4
- Genomics and Chromatin Dynamics 3
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- Neurobiology and Insect Physiology Research 16
- Co-authors
- Norbert Perrimon (6 shared papers)Wenliang Qian (19 shared papers)Qingyou Xia (17 shared papers)Wei Song (7 shared papers)Jian Peng (11 shared papers)Zheng Li (11 shared papers)Ling Wei (9 shared papers)Yan Yang (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)International Journal of Molecular Sciences (3 papers)PLoS ONE (3 papers)Cell Reports (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Daojun Cheng
29 papers receiving 522 citations
Peers
Comparison fields: 5 of 60
- Aging 43
- Cellular and Molecular Neuroscience 234
- Insect Science 118
- Biomaterials 70
- Immunology 110
Countries citing papers authored by Daojun Cheng
This map shows the geographic impact of Daojun Cheng'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 Daojun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daojun Cheng more than expected).
Fields of papers citing papers by Daojun Cheng
This network shows the impact of papers produced by Daojun Cheng. 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 Daojun Cheng. The network helps show where Daojun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Daojun Cheng, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2018 | 83 | |
| 3 | 2017 | 42 | |
| 4 | 2013 | 40 | |
| 5 | 2015 | 26 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2017 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2014 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2012 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2016 | 7 | |
| 20 | 2018 | 6 |
About Daojun Cheng
Daojun Cheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomaterials, Immunology and Genetics, having authored 29 papers that have together received 524 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (16 papers), Silk-based biomaterials and applications (8 papers), Invertebrate Immune Response Mechanisms (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Ubiquitin and proteasome pathways (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Lipid metabolism and biosynthesis (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (43 citations), Cellular and Molecular Neuroscience (234 citations), Insect Science (118 citations), Biomaterials (70 citations) and Immunology (110 citations). Daojun Cheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Norbert Perrimon, Wenliang Qian, Qingyou Xia, Wei Song, Jian Peng, Zheng Li, Ling Wei, Yan Yang, Tianlei Zhang and Yanhui Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences, PLoS ONE, Cell Reports and Journal of Biological Chemistry.
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.