Lun Cui
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- CRISPR and Genetic Engineering 11
- RNA and protein synthesis mechanisms 8
- Advanced biosensing and bioanalysis techniques 4
- RNA Interference and Gene Delivery 2
- Genomics and Chromatin Dynamics 2
- DNA and Nucleic Acid Chemistry 2
- Genetics 9
- Bacterial Genetics and Biotechnology 9
- Co-authors
- David Bikard (8 shared papers)François Rousset (3 shared papers)A. Vigouroux (2 shared papers)Keith E. Shearwin (5 shared papers)Ian B. Dodd (4 shared papers)Varun Khanna (1 shared paper)David G. Priest (2 shared papers)Hugo Varet (1 shared paper)
In The Last Decade
Lun Cui
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Endocrinology 103
- Business and International Management 36
- Genetics 467
- Molecular Medicine 79
- Molecular Biology 1.0k
Countries citing papers authored by Lun Cui
This map shows the geographic impact of Lun Cui'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 Lun Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lun Cui more than expected).
Fields of papers citing papers by Lun Cui
This network shows the impact of papers produced by Lun Cui. 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 Lun Cui. The network helps show where Lun Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lun Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 201 | |
| 2 | 2016 | 201 | |
| 3 | 2013 | 163 | |
| 4 | 2018 | 153 | |
| 5 | 2018 | 83 | |
| 6 | 2017 | 69 | |
| 7 | 2020 | 57 | |
| 8 | 2023 | 50 | |
| 9 | 2022 | 48 | |
| 10 | 2013 | 38 | |
| 11 | 2013 | 31 | |
| 12 | 2021 | 15 | |
| 13 | 2024 | 8 | |
| 14 | 2016 | 5 | |
| 15 | 2024 | 5 | |
| 16 | Inhibitory effects of pharmacological doses of dexamethasone on mineralization of mesenchymal progenitor cells in vitro. | 2009 | 5 |
| 17 | 2024 | 3 | |
| 18 | 2013 | 3 | |
| 19 | 2023 | 2 |
About Lun Cui
Lun Cui is a scholar working on Molecular Biology, Genetics, Pharmacology, Ecology and Geriatrics and Gerontology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (8 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Endocrinology (103 citations), Business and International Management (36 citations), Genetics (467 citations), Molecular Medicine (79 citations) and Molecular Biology (1.0k citations). Lun Cui has collaborated with scholars based in France, Australia and China. Frequent co-authors include David Bikard, François Rousset, A. Vigouroux, Keith E. Shearwin, Ian B. Dodd, Varun Khanna, David G. Priest, Hugo Varet, François St-Pierre and Drew Endy. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Proceedings of the National Academy of Sciences, PLoS Genetics and ACS Synthetic Biology.
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.