Long Qu
Impact in
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Animal Science and Zoology top 5%
Papers in
-
- Plant Gene Expression Analysis 5
- Advanced biosensing and bioanalysis techniques 4
- Gene expression and cancer classification 4
- Plant biochemistry and biosynthesis 3
- Co-authors
- Xiangning Jiang (5 shared papers)Ying Gai (5 shared papers)Dan Nettleton (12 shared papers)Zhi‐Bin Luo (2 shared papers)Jack C. M. Dekkers (11 shared papers)Andrea Polle (2 shared papers)Christopher K. Tuggle (9 shared papers)Jie Luo (2 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Genomics (3 papers)Biometrics (3 papers)Analytical and Bioanalytical Chemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Long Qu
32 papers receiving 899 citations
Peers
Comparison fields: 5 of 92
- Plant Science 393
- Animal Science and Zoology 90
- Agronomy and Crop Science 80
- Pollution 58
- Genetics 138
Countries citing papers authored by Long Qu
This map shows the geographic impact of Long Qu'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 Long Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Qu more than expected).
Fields of papers citing papers by Long Qu
This network shows the impact of papers produced by Long Qu. 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 Long Qu. The network helps show where Long Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Qu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 199 | |
| 2 | 2012 | 138 | |
| 3 | 2009 | 75 | |
| 4 | 2012 | 61 | |
| 5 | 2014 | 47 | |
| 6 | 2008 | 38 | |
| 7 | 2009 | 37 | |
| 8 | 2007 | 32 | |
| 9 | 2013 | 32 | |
| 10 | 2014 | 29 | |
| 11 | 2012 | 27 | |
| 12 | 2013 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2008 | 25 | |
| 15 | 2010 | 25 | |
| 16 | 2017 | 24 | |
| 17 | 2019 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2011 | 7 |
About Long Qu
Long Qu is a scholar working on Molecular Biology, Plant Science, Genetics, Food Science and Immunology, having authored 37 papers that have together received 916 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant Gene Expression Analysis (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Gene expression and cancer classification (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Plant Science (393 citations), Animal Science and Zoology (90 citations), Agronomy and Crop Science (80 citations), Pollution (58 citations) and Genetics (138 citations). Long Qu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiangning Jiang, Ying Gai, Dan Nettleton, Zhi‐Bin Luo, Jack C. M. Dekkers, Andrea Polle, Christopher K. Tuggle, Jie Luo, Dennis Janz and Oliver Couture. Their work appears in journals such as PLoS ONE, BMC Genomics, Biometrics, Analytical and Bioanalytical Chemistry and Scientific 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.