Jie Na
- Molecular Biology top 5%
- Biomedical Engineering top 5%
- Critical Care and Intensive Care Medicine top 1%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Edward J. MaschaDaniel I. SesslerSuman RajagopalanMagdalena Zernicka‐GoetzPeter W. AndrewsXi ChenRui YaoLiliang Ouyang
- Topics
- Pluripotent Stem Cells Research (26 papers)CRISPR and Genetic Engineering (12 papers)3D Printing in Biomedical Research (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jie Na
90 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 1.5k
- Biomedical Engineering 631
- Critical Care and Intensive Care Medicine 447
- Cancer Research 431
- Surgery 419
Countries citing papers authored by Jie Na
This map shows the geographic impact of Jie Na'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 Jie Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Na more than expected).
Fields of papers citing papers by Jie Na
This network shows the impact of papers produced by Jie Na. 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 Jie Na. The network helps show where Jie Na may publish in the future.
Co-authorship network of co-authors of Jie Na
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Na. A scholar is included among the top collaborators of Jie Na 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 Jie Na. Jie Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 14 | |
| 9 | 67 | |
| 10 | 12 | |
| 11 | 74 | |
| 12 | 50 | |
| 13 | 21 | |
| 14 | Progress on Research of Effective Medicinal Components of Rare Ferns Huperzia serrata | 1 |
| 15 | Application Potential of Insect Antimicrobial Peptides in Agricultural Production | 1 |
| 16 | Structure and Function of Insect Compound Eyes | 1 |
| 17 | The Effects of Mild Perioperative Hypothermia on Blood Loss and Transfusion Requirementbreakdown → | 581 |
| 18 | 98 | |
| 19 | 6 | |
| 20 | Construction of anti-sense gene of annfaf and genetic transformation of strawberry | 2 |
About Jie Na
Jie Na is a scholar working on Molecular Biology, Cell Biology and Aging, having authored 91 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (26 papers), CRISPR and Genetic Engineering (12 papers) and 3D Printing in Biomedical Research (11 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (447 citations), Cancer Research (431 citations) and Molecular Biology (1.5k citations). Jie Na has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Edward J. Mascha, Daniel I. Sessler, Suman Rajagopalan, Magdalena Zernicka‐Goetz, Peter W. Andrews, Xi Chen, Rui Yao, Liliang Ouyang, Wei Sun and Peizhe Wang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.