Jun Duan
Impact in
- Insect Science top 1%
- Silkworms and Sericulture Research
- Insect Utilization and Effects
- Biomaterials top 5%
- Silk-based biomaterials and applications
Papers in
-
- Insect Resistance and Genetics 8
- Circular RNAs in diseases 5
- RNA Research and Splicing 3
-
- Silk-based biomaterials and applications 8
- Co-authors
- Qingyou Xia (15 shared papers)Zhonghuai Xiang (9 shared papers)Genhong Wang (7 shared papers)Tingcai Cheng (6 shared papers)Daojun Cheng (6 shared papers)Xingfu Zha (6 shared papers)Ping Zhao (4 shared papers)Ningjia He (2 shared papers)
- Journals
- Insect Biochemistry and Molecular Biology (4 papers)Gene (2 papers)PLoS ONE (2 papers)Cell Stress and Chaperones (2 papers)American Journal of Perinatology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Duan
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Insect Science 475
- Biomaterials 262
- Cellular and Molecular Neuroscience 272
- Immunology 294
- Molecular Biology 775
Countries citing papers authored by Jun Duan
This map shows the geographic impact of Jun Duan'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 Jun Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Duan more than expected).
Fields of papers citing papers by Jun Duan
This network shows the impact of papers produced by Jun Duan. 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 Jun Duan. The network helps show where Jun Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Duan, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 264 | |
| 2 | 2009 | 220 | |
| 3 | 2012 | 88 | |
| 4 | 2011 | 87 | |
| 5 | 2010 | 86 | |
| 6 | 2008 | 83 | |
| 7 | 2008 | 72 | |
| 8 | 2015 | 54 | |
| 9 | 2012 | 51 | |
| 10 | 2013 | 50 | |
| 11 | 2008 | 43 | |
| 12 | 2014 | 39 | |
| 13 | 2006 | 32 | |
| 14 | 2016 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 2017 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2011 | 13 | |
| 20 | 2008 | 13 |
About Jun Duan
Jun Duan is a scholar working on Molecular Biology, Biomaterials, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (8 papers), Silk-based biomaterials and applications (8 papers), Insect and Arachnid Ecology and Behavior (5 papers), Circular RNAs in diseases (5 papers), Neonatal Respiratory Health Research (5 papers), Congenital Diaphragmatic Hernia Studies (4 papers), RNA Research and Splicing (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Insect Science (475 citations), Biomaterials (262 citations), Cellular and Molecular Neuroscience (272 citations), Immunology (294 citations) and Molecular Biology (775 citations). Jun Duan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qingyou Xia, Zhonghuai Xiang, Genhong Wang, Tingcai Cheng, Daojun Cheng, Xingfu Zha, Ping Zhao, Ningjia He, Ping Zhao and Chun Liu. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Gene, PLoS ONE, Cell Stress and Chaperones and American Journal of Perinatology.
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.