Liya Qu
Impact in
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- Mercury impact and mitigation studies
- Heavy Metal Exposure and Toxicity
- Air Quality and Health Impacts
- Pollution top 2%
- Heavy metals in environment
Papers in
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- Mercury impact and mitigation studies 19
- Heavy Metal Exposure and Toxicity 14
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- Selenium in Biological Systems 7
- Trace Elements in Health 2
- Co-authors
- Chunying Chen (8 shared papers)Zhifang Chai (7 shared papers)Yuanyuan Li (5 shared papers)Nataša Nolde (1 shared paper)Ingrid Falnoga (1 shared paper)Milena Horvat (1 shared paper)Radojko Jačimović (1 shared paper)Sonja Lojen (1 shared paper)
In The Last Decade
Liya Qu
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Health, Toxicology and Mutagenesis 870
- Pollution 361
- Nutrition and Dietetics 236
- Geophysics 77
- Analytical Chemistry 44
Countries citing papers authored by Liya Qu
This map shows the geographic impact of Liya 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 Liya Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liya Qu more than expected).
Fields of papers citing papers by Liya Qu
This network shows the impact of papers produced by Liya 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 Liya Qu. The network helps show where Liya Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liya 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 388 | |
| 2 | 2006 | 148 | |
| 3 | 2005 | 108 | |
| 4 | 2007 | 86 | |
| 5 | 2012 | 70 | |
| 6 | 2005 | 44 | |
| 7 | 2006 | 37 | |
| 8 | 2006 | 35 | |
| 9 | 2006 | 32 | |
| 10 | 2008 | 27 | |
| 11 | 2010 | 24 | |
| 12 | 2004 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2007 | 16 | |
| 15 | 2011 | 13 | |
| 16 | 2004 | 10 | |
| 17 | 2004 | 9 | |
| 18 | Rice from mercury contaminated areas in Guizhou Province induces c-jun expression in rat brain. | 2005 | 9 |
| 19 | 2006 | 5 | |
| 20 | 2008 | 5 |
About Liya Qu
Liya Qu is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics, Pollution, Geophysics and Electrical and Electronic Engineering, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (19 papers), Heavy Metal Exposure and Toxicity (14 papers), Selenium in Biological Systems (7 papers), Heavy metals in environment (5 papers), Trace Elements in Health (2 papers), Geophysical and Geoelectrical Methods (2 papers), Electrokinetic Soil Remediation Techniques (2 papers) and Landfill Environmental Impact Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (870 citations), Pollution (361 citations), Nutrition and Dietetics (236 citations), Geophysics (77 citations) and Analytical Chemistry (44 citations). Liya Qu has collaborated with scholars based in China, Japan and Romania. Frequent co-authors include Chunying Chen, Zhifang Chai, Yuanyuan Li, Nataša Nolde, Ingrid Falnoga, Milena Horvat, Radojko Jačimović, Sonja Lojen, Vesna Jereb and Damjana Drobne. Their work appears in journals such as Bulletin of Environmental Contamination and Toxicology, The Science of The Total Environment, Environmental Pollution, Journal of Radioanalytical and Nuclear Chemistry and Clinical Chemistry.
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.