Yu Luo
Impact in
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- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
Papers in
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- Advanced biosensing and bioanalysis techniques 20
- DNA and Nucleic Acid Chemistry 17
- RNA Interference and Gene Delivery 14
- RNA and protein synthesis mechanisms 4
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- Catalytic C–H Functionalization Methods 4
- Co-authors
- Renjun Pei (12 shared papers)Jine Wang (8 shared papers)Tian Gao (7 shared papers)Jean‐Louis Mergny (11 shared papers)Luyan Yang (5 shared papers)Daniela Verga (8 shared papers)Dongzhi Wei (3 shared papers)Yushu Ma (3 shared papers)
In The Last Decade
Yu Luo
55 papers receiving 870 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 594
- Organic Chemistry 149
- Biomedical Engineering 190
- Pharmaceutical Science 24
- Spectroscopy 63
Countries citing papers authored by Yu Luo
This map shows the geographic impact of Yu 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 Yu Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Luo more than expected).
Fields of papers citing papers by Yu Luo
This network shows the impact of papers produced by Yu 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 Yu Luo. The network helps show where Yu Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Luo, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 68 | |
| 2 | 1993 | 52 | |
| 3 | 2019 | 48 | |
| 4 | 2018 | 45 | |
| 5 | 2023 | 44 | |
| 6 | 2021 | 42 | |
| 7 | 2021 | 39 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 36 | |
| 10 | 2020 | 32 | |
| 11 | 2020 | 29 | |
| 12 | 2022 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 24 | |
| 16 | Cyclic RGD-Decorated Liposomal Gossypol AT-101 Targeting for Enhanced Antitumor Effect | 2022 | 23 |
| 17 | 2019 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2022 | 17 | |
| 20 | 2023 | 15 |
About Yu Luo
Yu Luo is a scholar working on Molecular Biology, Organic Chemistry, Plant Science, Biomedical Engineering and Pharmacology, having authored 57 papers that have together received 884 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (20 papers), DNA and Nucleic Acid Chemistry (17 papers), RNA Interference and Gene Delivery (14 papers), Fungal Biology and Applications (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Catalytic C–H Functionalization Methods (4 papers), RNA and protein synthesis mechanisms (4 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Molecular Biology (594 citations), Organic Chemistry (149 citations), Biomedical Engineering (190 citations), Pharmaceutical Science (24 citations) and Spectroscopy (63 citations). Yu Luo has collaborated with scholars based in China, France and Czechia. Frequent co-authors include Renjun Pei, Jine Wang, Tian Gao, Jean‐Louis Mergny, Luyan Yang, Daniela Verga, Dongzhi Wei, Yushu Ma, Pi Ding and Wenjing Li. Their work appears in journals such as Nucleic Acids Research, ACS Catalysis, The Analyst, ACS Combinatorial Science and Journal of Molecular Evolution.
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.