Jun Duan
- Molecular Biology top 10%
- Insect Science top 1%
- Immunology top 10%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Qingyou XiaZhonghuai XiangGenhong WangTingcai ChengDaojun ChengXingfu ZhaPing ZhaoNingjia He
- Topics
- Insect Resistance and Genetics (10 papers)Silk-based biomaterials and applications (9 papers)Neonatal Respiratory Health Research (6 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
In The Last Decade
Jun Duan
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 854
- Insect Science 519
- Immunology 317
- Genetics 287
- Cellular and Molecular Neuroscience 284
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-authorship network of co-authors of Jun Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Duan. A scholar is included among the top collaborators of Jun Duan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Duan. Jun Duan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | Different Characteristics of Ex-Smokers and Current Smokers with COPD: A Cross-Sectional Study in China | 1 |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 52 | |
| 11 | 39 | |
| 12 | In planta transformation of Dendrobium nobile by ovary-injection of Agrobacterium. | 3 |
| 13 | 88 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 43 | |
| 17 | 264 | |
| 18 | 1 | |
| 19 | In vitro propagation of Heliconia plants | 2 |
| 20 | The relationship between respiration and activated oxygen metabolism in cytoplasmic male sterile rice | 1 |
About Jun Duan
Jun Duan is a scholar working on Biomaterials, Insect Science and Molecular Biology, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (10 papers), Silk-based biomaterials and applications (9 papers) and Neonatal Respiratory Health Research (6 papers). The work is most often cited by research in Insect Science (519 citations), Biomaterials (270 citations) and Cellular and Molecular Neuroscience (284 citations). Jun Duan has collaborated with scholars based in China, Canada and Japan. 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 Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.