Zongyang Lu
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 10
- Epigenetics and DNA Methylation 6
- RNA regulation and disease 3
- RNA and protein synthesis mechanisms 3
- Genetics 8
- Virus-based gene therapy research 4
- Genetics and Neurodevelopmental Disorders 3
- Co-authors
- Xingxu Huang (12 shared papers)Jia Chen (4 shared papers)Yajing Liu (2 shared papers)Shisheng Huang (6 shared papers)Qiang Sun (6 shared papers)Zhen Liu (4 shared papers)Wenxia Yu (3 shared papers)Yu Zhang (5 shared papers)
- Journals
- Nature Communications (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Cell Reports (2 papers)Science Bulletin (2 papers)Molecular Therapy (1 paper)
- Partner nations
- China
In The Last Decade
Zongyang Lu
17 papers receiving 2.6k citations
Zongyang Lu's Hit Papers
Peers
Comparison fields: 5 of 168
- Business and International Management 74
- Aging 47
- Molecular Biology 1.0k
- Renewable Energy, Sustainability and the Environment 193
- Genetics 273
Countries citing papers authored by Zongyang Lu
This map shows the geographic impact of Zongyang 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 Zongyang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongyang Lu more than expected).
Fields of papers citing papers by Zongyang Lu
This network shows the impact of papers produced by Zongyang 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 Zongyang Lu. The network helps show where Zongyang Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zongyang 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 | Efficient generation of mouse models of human diseases via ABE- and BE-mediated base editing Hit paper breakdown → | 2018 | 1961 |
| 2 | Base editing with a Cpf1–cytidine deaminase fusion Hit paper breakdown → | 2018 | 333 |
| 3 | 2020 | 82 | |
| 4 | 2020 | 44 | |
| 5 | 2021 | 32 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 15 | |
| 9 | 2022 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 1 |
About Zongyang Lu
Zongyang Lu is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Nuclear and High Energy Physics and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 2.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Epigenetics and DNA Methylation (6 papers), Virus-based gene therapy research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), RNA regulation and disease (3 papers), RNA and protein synthesis mechanisms (3 papers), Autism Spectrum Disorder Research (2 papers) and Particle physics theoretical and experimental studies (2 papers). The work is most often cited by research in Business and International Management (74 citations), Aging (47 citations), Molecular Biology (1.0k citations), Renewable Energy, Sustainability and the Environment (193 citations) and Genetics (273 citations). Zongyang Lu has collaborated with scholars based in China. Frequent co-authors include Xingxu Huang, Jia Chen, Yajing Liu, Shisheng Huang, Qiang Sun, Zhen Liu, Wenxia Yu, Yu Zhang, Jianan Li and Guang Yang. Their work appears in journals such as Nature Communications, Molecular Therapy — Nucleic Acids, Cell Reports, Science Bulletin and Molecular Therapy.
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.