Lu Yu
Impact in
- Molecular Biology top 2%
- Plant Gene Expression Analysis
- CRISPR and Genetic Engineering
- Endocrinology top 2%
Papers in
-
- Epigenetics and DNA Methylation 9
- Ubiquitin and proteasome pathways 6
- Photosynthetic Processes and Mechanisms 6
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- Plant-Microbe Interactions and Immunity 8
- Plant nutrient uptake and metabolism 8
- Plant Molecular Biology Research 7
- Co-authors
- Jyoti S. Choudhary (52 shared papers)Mark O. Collins (7 shared papers)Seth G. N. Grant (4 shared papers)Markus Brosch (3 shared papers)Mercedes Pardo (16 shared papers)Tim Hubbard (2 shared papers)Holger Husi (3 shared papers)Walter Blackstock (3 shared papers)
- Journals
- Nature Communications (6 papers)Molecular & Cellular Proteomics (5 papers)The EMBO Journal (3 papers)Journal of Proteomics (3 papers)Cell Reports (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lu Yu
123 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 3.0k
- Endocrinology 169
- Cell Biology 508
- Spectroscopy 443
- Plant Science 940
Countries citing papers authored by Lu Yu
This map shows the geographic impact of Lu Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Yu more than expected).
Fields of papers citing papers by Lu Yu
This network shows the impact of papers produced by Lu Yu. 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 Yu. The network helps show where Lu Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Yu, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 338 | |
| 2 | 2005 | 337 | |
| 3 | 2010 | 300 | |
| 4 | 2004 | 263 | |
| 5 | 2012 | 255 | |
| 6 | 2009 | 194 | |
| 7 | 2009 | 189 | |
| 8 | 2008 | 150 | |
| 9 | 2017 | 146 | |
| 10 | 2013 | 129 | |
| 11 | 2007 | 127 | |
| 12 | 2011 | 102 | |
| 13 | 2022 | 101 | |
| 14 | 2014 | 100 | |
| 15 | 2012 | 89 | |
| 16 | 2021 | 87 | |
| 17 | 2019 | 83 | |
| 18 | 2014 | 79 | |
| 19 | 2010 | 74 | |
| 20 | 2017 | 74 |
About Lu Yu
Lu Yu is a scholar working on Molecular Biology, Plant Science, Cell Biology, Ecology and Oncology, having authored 130 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Epigenetics and DNA Methylation (9 papers), Plant-Microbe Interactions and Immunity (8 papers), Plant nutrient uptake and metabolism (8 papers), Plant Molecular Biology Research (7 papers), Ubiquitin and proteasome pathways (6 papers), Bacteriophages and microbial interactions (6 papers) and Photosynthetic Processes and Mechanisms (6 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Endocrinology (169 citations), Cell Biology (508 citations), Spectroscopy (443 citations) and Plant Science (940 citations). Lu Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jyoti S. Choudhary, Mark O. Collins, Seth G. N. Grant, Markus Brosch, Mercedes Pardo, Tim Hubbard, Holger Husi, Walter Blackstock, Iain Campuzano and Gordon Dougan. Their work appears in journals such as Nature Communications, Molecular & Cellular Proteomics, The EMBO Journal, Journal of Proteomics and Cell Reports.
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.