Changrui Lu
Impact in
- Physiology top 5%
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
-
- RNA and protein synthesis mechanisms 16
- RNA modifications and cancer 10
- RNA Research and Splicing 8
-
- Synthesis and biological activity 7
- Synthesis and Characterization of Heterocyclic Compounds 4
- Co-authors
- Ailong Ke (8 shared papers)Fang Ding (6 shared papers)Carol A. Gross (1 shared paper)Konstantin Severinov (1 shared paper)Fariha Kanwal (12 shared papers)Clement L. K. Chan (1 shared paper)Sergei Nechaev (1 shared paper)Michael T. Marr (1 shared paper)
- Journals
- Molecules (7 papers)Chemical Communications (2 papers)Journal of Medicinal Chemistry (2 papers)Arabian Journal of Chemistry (2 papers)Journal of Fluorescence (2 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Changrui Lu
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 124
- Physiology 82
- Biotechnology 123
- Molecular Biology 946
- Aging 21
- Genetics 235
Countries citing papers authored by Changrui Lu
This map shows the geographic impact of Changrui Lu'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 Changrui Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changrui Lu more than expected).
Fields of papers citing papers by Changrui Lu
This network shows the impact of papers produced by Changrui Lu. 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 Changrui Lu. The network helps show where Changrui Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changrui Lu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 358 | |
| 2 | 2008 | 136 | |
| 3 | 2017 | 88 | |
| 4 | 2010 | 81 | |
| 5 | 2011 | 67 | |
| 6 | 2021 | 61 | |
| 7 | 2005 | 61 | |
| 8 | 2005 | 58 | |
| 9 | 2021 | 54 | |
| 10 | 2021 | 51 | |
| 11 | 2020 | 49 | |
| 12 | 2022 | 44 | |
| 13 | 2022 | 39 | |
| 14 | 2011 | 34 | |
| 15 | 2021 | 31 | |
| 16 | 2019 | 29 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2016 | 26 | |
| 20 | 2021 | 25 |
About Changrui Lu
Changrui Lu is a scholar working on Molecular Biology, Organic Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Oncology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (10 papers), RNA Research and Splicing (8 papers), Synthesis and biological activity (7 papers), Bacterial Genetics and Biotechnology (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Enzyme Production and Characterization (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (4 papers). The work is most often cited by research in Physiology (82 citations), Biotechnology (123 citations), Molecular Biology (946 citations), Aging (21 citations) and Genetics (235 citations). Changrui Lu has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Ailong Ke, Fang Ding, Carol A. Gross, Konstantin Severinov, Fariha Kanwal, Clement L. K. Chan, Sergei Nechaev, Michael T. Marr, Tina M. Henkin and Kanagalaghatta R. Rajashankar. Their work appears in journals such as Molecules, Chemical Communications, Journal of Medicinal Chemistry, Arabian Journal of Chemistry and Journal of Fluorescence.
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.