Qi Yu
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Genetics top 10%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
-
- CRISPR and Genetic Engineering 4
-
- Chromosomal and Genetic Variations 8
- Plant Molecular Biology Research 3
- Co-authors
- Cheng Guo (7 shared papers)Yonglong Han (5 shared papers)Fernando D. Camargo (2 shared papers)Sarah Bowling (2 shared papers)Yiqing Guo (2 shared papers)Li Li (2 shared papers)Rongjia Zhou (2 shared papers)Han Cheng (1 shared paper)
- Journals
- Cytogenetic and Genome Research (4 papers)Journal of Chromatography B (2 papers)Gene (1 paper)Genetics (1 paper)Cell (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qi Yu
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Pharmacology 122
- Genetics 212
- Physiology 34
- Molecular Biology 398
- Pediatrics, Perinatology and Child Health 90
Countries citing papers authored by Qi Yu
This map shows the geographic impact of Qi 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 Qi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yu more than expected).
Fields of papers citing papers by Qi Yu
This network shows the impact of papers produced by Qi 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 Qi Yu. The network helps show where Qi Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2023 | 85 | |
| 3 | 2019 | 80 | |
| 4 | 2011 | 59 | |
| 5 | 2003 | 58 | |
| 6 | 2003 | 56 | |
| 7 | 2017 | 53 | |
| 8 | 2010 | 48 | |
| 9 | 2011 | 38 | |
| 10 | 2011 | 34 | |
| 11 | 2007 | 34 | |
| 12 | 2021 | 31 | |
| 13 | The Study on An Application of Otsu Method in Canny Operator | 2014 | 30 |
| 14 | 2011 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2022 | 25 | |
| 17 | 2019 | 21 | |
| 18 | 2014 | 21 | |
| 19 | 2009 | 20 | |
| 20 | 1991 | 16 |
About Qi Yu
Qi Yu is a scholar working on Molecular Biology, Plant Science, Genetics, Pharmacology and Computational Theory and Mathematics, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Animal Genetics and Reproduction (6 papers), Computational Drug Discovery Methods (5 papers), CRISPR and Genetic Engineering (4 papers), Plant Molecular Biology Research (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Pharmacology (122 citations), Genetics (212 citations), Physiology (34 citations), Molecular Biology (398 citations) and Pediatrics, Perinatology and Child Health (90 citations). Qi Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Cheng Guo, Yonglong Han, Fernando D. Camargo, Sarah Bowling, Yiqing Guo, Li Li, Rongjia Zhou, Han Cheng, Yibo Chen and Jing‐Fei Huang. Their work appears in journals such as Cytogenetic and Genome Research, Journal of Chromatography B, Gene, Genetics and Cell.
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.