Wei Lü
Impact in
- Pollution top 5%
- Molecular Biology top 5%
- CRISPR and Genetic Engineering
- Plant tissue culture and regeneration
- Protein Interaction Studies and Fluorescence Analysis
Papers in ⓘ
-
- CRISPR and Genetic Engineering 16
- Genomics and Phylogenetic Studies 13
- Plant tissue culture and regeneration 12
- Microbial Metabolic Engineering and Bioproduction 11
- Protein Interaction Studies and Fluorescence Analysis 9
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- Weed Control and Herbicide Applications 10
- Co-authors
- Min Lin (46 shared papers)Yongliang Yan (33 shared papers)Shuzhen Ping (25 shared papers)Qingyou Xia (17 shared papers)Yuan Fang Li (7 shared papers)Cheng Zhi Huang (5 shared papers)Sanyuan Ma (17 shared papers)Yuhua Zhan (19 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of Bacteriology (4 papers)Current Microbiology (4 papers)PLoS ONE (4 papers)Analytica Chimica Acta (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wei Lü
163 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 183
- Pollution 279
- Molecular Biology 1.5k
- Plant Science 752
- Insect Science 201
- Biomaterials 181
Countries citing papers authored by Wei Lü
This map shows the geographic impact of Wei Lü'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 Wei Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lü more than expected).
Fields of papers citing papers by Wei Lü
This network shows the impact of papers produced by Wei Lü. 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 Wei Lü. The network helps show where Wei Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Lü, 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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 1999 | 108 | |
| 3 | 2008 | 106 | |
| 4 | 2018 | 103 | |
| 5 | 2006 | 100 | |
| 6 | 2009 | 74 | |
| 7 | 2014 | 72 | |
| 8 | 2010 | 63 | |
| 9 | 2014 | 57 | |
| 10 | 2012 | 53 | |
| 11 | 2018 | 50 | |
| 12 | 2002 | 49 | |
| 13 | 2012 | 49 | |
| 14 | 2016 | 49 | |
| 15 | 2019 | 48 | |
| 16 | 2011 | 47 | |
| 17 | 2017 | 47 | |
| 18 | 2015 | 43 | |
| 19 | 2012 | 40 | |
| 20 | 2010 | 40 |
About Wei Lü
Wei Lü is a scholar working on Molecular Biology, Plant Science, Pollution, Ecology and Insect Science, having authored 175 papers that have together received 2.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), Genomics and Phylogenetic Studies (13 papers), Plant tissue culture and regeneration (12 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Microbial Community Ecology and Physiology (11 papers), Weed Control and Herbicide Applications (10 papers), Protein Interaction Studies and Fluorescence Analysis (9 papers) and Silk-based biomaterials and applications (9 papers). The work is most often cited by research in Pollution (279 citations), Molecular Biology (1.5k citations), Plant Science (752 citations), Insect Science (201 citations) and Biomaterials (181 citations). Wei Lü has collaborated with scholars based in China, United States and France. Frequent co-authors include Min Lin, Yongliang Yan, Shuzhen Ping, Qingyou Xia, Yuan Fang Li, Cheng Zhi Huang, Sanyuan Ma, Yuhua Zhan, Xiaogang Wang and Jiasong Chang. Their work appears in journals such as Scientific Reports, Journal of Bacteriology, Current Microbiology, PLoS ONE and Analytica Chimica Acta.
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.