Lu‐Ning Liu
- Structural Biology top 1%
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- Algal biology and biofuel production 21
- Molecular Biology top 2%
- Photosynthetic Processes and Mechanisms 75
- ATP Synthase and ATPases Research 14
- Microbial Metabolic Engineering and Bioproduction 12
- Aquatic Science top 5%
- Ecology top 5%
- Microbial Community Ecology and Physiology 10
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- Spectroscopy and Quantum Chemical Studies 12
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- Enzyme Structure and Function 12
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- Photoreceptor and optogenetics research 10
- Co-authors
- Yu‐Zhong ZhangBai‐Cheng ZhouFang HuangNa SuiXiu‐Lan ChenGregory F. DykesYaqi SunConrad W. Mullineaux
- Journals
- Nature Communications (10 papers)Biochimica et Biophysica Acta (BBA) - Bioenergetics (8 papers)PLANT PHYSIOLOGY (7 papers)
- Partner nations
- United KingdomChinaFrance
In The Last Decade
Lu‐Ning Liu
108 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Structural Biology 165
- Renewable Energy, Sustainability and the Environment 1.2k
- Molecular Biology 2.7k
- Aquatic Science 127
- Ecology 448
Countries citing papers authored by Lu‐Ning Liu
This map shows the geographic impact of Lu‐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 Lu‐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 Lu‐Ning Liu more than expected).
Fields of papers citing papers by Lu‐Ning Liu
This network shows the impact of papers produced by Lu‐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 Lu‐Ning Liu. The network helps show where Lu‐Ning Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu‐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 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 45 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 41 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 64 | |
| 14 | 2020 | 37 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 84 | |
| 17 | 2018 | 41 | |
| 18 | 2017 | 67 | |
| 19 | 2016 | 60 | |
| 20 | [Variation of atmospheric pollutants in Qinhuangdao City]. | 2013 | 1 |
About Lu‐Ning Liu
Lu‐Ning Liu is a scholar working on Structural Biology, Renewable Energy, Sustainability and the Environment and Molecular Biology, having authored 111 papers that have together received 3.7k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (75 papers), Algal biology and biofuel production (21 papers), ATP Synthase and ATPases Research (14 papers), Spectroscopy and Quantum Chemical Studies (12 papers), Enzyme Structure and Function (12 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Photoreceptor and optogenetics research (10 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Structural Biology (165 citations), Renewable Energy, Sustainability and the Environment (1.2k citations) and Molecular Biology (2.7k citations). Lu‐Ning Liu has collaborated with scholars based in United Kingdom, China and France. Frequent co-authors include Yu‐Zhong Zhang, Bai‐Cheng Zhou, Fang Huang, Na Sui, Xiu‐Lan Chen, Gregory F. Dykes, Yaqi Sun, Conrad W. Mullineaux, Jinlu Li and Matthew Faulkner. Their work appears in journals such as Nature Communications, Biochimica et Biophysica Acta (BBA) - Bioenergetics, PLANT PHYSIOLOGY, Science Advances and Proceedings of the National Academy of Sciences.
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.