Leina Lu
Impact in
- Cancer Research top 2%
- 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
-
- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
- Muscle Physiology and Disorders 2
-
- 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)Cell Reports (1 paper)Genome biology (1 paper)European Neuropsychopharmacology (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Leina Lu
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 574
- Molecular Biology 948
- Genetics 48
- Aging 7
- Genetics 89
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 156 | |
| 2 | 2013 | 125 | |
| 3 | 2012 | 123 | |
| 4 | 2012 | 101 | |
| 5 | 2017 | 99 | |
| 6 | 2012 | 90 | |
| 7 | 2012 | 89 | |
| 8 | 2019 | 81 | |
| 9 | 2012 | 80 | |
| 10 | 2012 | 76 | |
| 11 | 2012 | 51 | |
| 12 | 2022 | 35 | |
| 13 | 2023 | 25 | |
| 14 | 2020 | 21 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 1 |
About Leina Lu
Leina Lu is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Computer Networks and Communications, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Cancer Research (574 citations), Molecular Biology (948 citations), Genetics (48 citations), Aging (7 citations) and Genetics (89 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, Cell Reports, Genome biology and European Neuropsychopharmacology.
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.