Yun Luo
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Molecular Medicine top 5%
- Endocrinology top 5%
- Co-authors
- John D. HelmannSébastien VilainMichael B. HildrethVolker S. BrözelAmy E. BakerGerard C. L. WongGeorge A. O’TooleKun Zhao
- Topics
- Bacterial Genetics and Biotechnology (8 papers)Bacteriophages and microbial interactions (5 papers)Bacterial biofilms and quorum sensing (5 papers)
- Journals
- Proceedings of the National Academy of SciencesACS NanoApplied and Environmental Microbiology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yun Luo
21 papers receiving 932 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 680
- Genetics 333
- Ecology 210
- Molecular Medicine 114
- Endocrinology 105
Countries citing papers authored by Yun Luo
This map shows the geographic impact of Yun Luo'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 Yun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Luo more than expected).
Fields of papers citing papers by Yun Luo
This network shows the impact of papers produced by Yun Luo. 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 Yun Luo. The network helps show where Yun Luo may publish in the future.
Co-authorship network of co-authors of Yun Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Luo. A scholar is included among the top collaborators of Yun Luo 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 Yun Luo. Yun Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 177 | |
| 9 | 62 | |
| 10 | Angiogenesis related gene expression profiles of EA.hy926 cells induced by irbesartan: a possible novel therapeutic approach. | 2 |
| 11 | 24 | |
| 12 | 198 | |
| 13 | Expression of Aurora-B and Ki-67 in osteosarcoma and its correlation with distant metastasis | 1 |
| 14 | 34 | |
| 15 | 17 | |
| 16 | 18 | |
| 17 | 146 | |
| 18 | [Effect of mailuoning on C-Fos protein expression in rats with cerebral infarction]. | 1 |
| 19 | [An in vitro model of hepatitis B virus gene replication and expression in primary rat hepatocytes transfected with circular viral DNA]. | 1 |
| 20 | Crossmatch with donor skin: characterization of alloantibodies and correlation with early kidney rejection. | 4 |
About Yun Luo
Yun Luo is a scholar working on Molecular Medicine, Transplantation and Genetics, having authored 24 papers that have together received 949 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (5 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Molecular Medicine (114 citations), Endocrinology (105 citations) and Microbiology (89 citations). Yun Luo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John D. Helmann, Sébastien Vilain, Michael B. Hildreth, Volker S. Brözel, Amy E. Baker, Gerard C. L. Wong, George A. O’Toole, Kun Zhao, Sherry L. Kuchma and Kimberly A. Coggan. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Nano and Applied and Environmental Microbiology.
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.