Leina Lu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Circular RNAs in diseases
- Muscle Physiology and Disorders
- Epigenetics and DNA Methylation
Papers in
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- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 4
- Circular RNAs in diseases 4
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
- Co-authors
- Huating Wang (12 shared papers)Hao Sun (11 shared papers)Liang Zhou (10 shared papers)Peiyong Jiang (5 shared papers)Kun Sun (7 shared papers)Xiaona Chen (5 shared papers)Lijun Wang (3 shared papers)Yu Zhao (5 shared papers)
- Journals
- Nature Communications (3 papers)PLoS ONE (2 papers)Molecular Therapy (1 paper)Nature Genetics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Leina Lu
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Cancer Research 620
- Molecular Biology 998
- Genetics 52
- Aging 7
- Genetics 100
Countries citing papers authored by Leina Lu
This map shows the geographic impact of Leina 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 Leina Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leina Lu more than expected).
Fields of papers citing papers by Leina Lu
This network shows the impact of papers produced by Leina 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 Leina Lu. The network helps show where Leina Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Leina 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 156 | |
| 2 | 2013 | 125 | |
| 3 | 2012 | 122 | |
| 4 | 2012 | 101 | |
| 5 | 2017 | 97 | |
| 6 | 2012 | 89 | |
| 7 | 2012 | 89 | |
| 8 | 2012 | 80 | |
| 9 | 2019 | 78 | |
| 10 | 2012 | 76 | |
| 11 | 2012 | 51 | |
| 12 | 2022 | 32 | |
| 13 | 2020 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2019 | 1 |
About Leina Lu
Leina Lu is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Computer Networks and Communications, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (7 papers), Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (4 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Cancer Research (620 citations), Molecular Biology (998 citations), Genetics (52 citations), Aging (7 citations) and Genetics (100 citations). Leina Lu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Huating Wang, Hao Sun, Liang Zhou, Peiyong Jiang, Kun Sun, Xiaona Chen, Lijun Wang, Yu Zhao, Lijun Wang and Lijun Wang. Their work appears in journals such as Nature Communications, PLoS ONE, Molecular Therapy, Nature Genetics and Human Molecular Genetics.
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.