Ning Liu
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 7
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 19
- RNA Research and Splicing 19
- RNA modifications and cancer 17
- Congenital heart defects research 17
- Muscle Physiology and Disorders 9
- Pluripotent Stem Cells Research 9
- RNA and protein synthesis mechanisms 8
- Aging top 5%
- Genetics top 5%
- Co-authors
- Eric N. OlsonRhonda Bassel‐DubySvetlana BezprozvannayaJohn M. SheltonAndrew H WilliamsHui LiJames A. RichardsonZhaoning Wang
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (9 papers)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ning Liu
125 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 977
- Molecular Biology 3.1k
- Aging 62
- Cardiology and Cardiovascular Medicine 567
- Genetics 260
Countries citing papers authored by Ning Liu
This map shows the geographic impact of Ning Liu'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 Ning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Liu more than expected).
Fields of papers citing papers by Ning Liu
This network shows the impact of papers produced by Ning Liu. 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 Ning Liu. The network helps show where Ning Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Liu, 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 4 | |
| 8 | Association Between Susceptibility to SSHL and Single Nucleotide Polymorphisms at the rs2228612 Locus of the DNMT1 Gene and the rs5570459 Locus of the GJB2 Gene. | 2023 | 1 |
| 9 | 2023 | 20 | |
| 10 | 2023 | 73 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 25 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 9 | |
| 15 | Precise correction of Duchenne muscular dystrophy exon deletion mutations by base and prime editingbreakdown → | 2021 | 172 |
| 16 | 2021 | 14 | |
| 17 | 2021 | 21 | |
| 18 | 2021 | 50 | |
| 19 | 2020 | 101 | |
| 20 | 2019 | 93 |
About Ning Liu
Ning Liu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 132 papers that have together received 4.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (19 papers), RNA Research and Splicing (19 papers), RNA modifications and cancer (17 papers), Congenital heart defects research (17 papers), Muscle Physiology and Disorders (9 papers), Pluripotent Stem Cells Research (9 papers), RNA and protein synthesis mechanisms (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (977 citations), Molecular Biology (3.1k citations) and Aging (62 citations). Ning Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Eric N. Olson, Rhonda Bassel‐Duby, Svetlana Bezprozvannaya, John M. Shelton, Andrew H Williams, Hui Li, James A. Richardson, Zhaoning Wang, Wei Tan and Francesco Chemello. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.