Yan Qu
Impact in
- Environmental Chemistry top 0.5%
- Per- and polyfluoroalkyl substances research
-
- Toxic Organic Pollutants Impact
- Chemical Analysis and Environmental Impact
Papers in
-
- Per- and polyfluoroalkyl substances research 11
-
- Toxic Organic Pollutants Impact 7
- Co-authors
- Chaojie Zhang (11 shared papers)Qi Zhou (9 shared papers)Fei Li (8 shared papers)Nancy Merino (1 shared paper)Rula A. Deeb (1 shared paper)Elisabeth L. Hawley (1 shared paper)Shaily Mahendra (1 shared paper)Michael R. Hoffmann (2 shared papers)
- Journals
- Journal of Cosmetic Dermatology (3 papers)Frontiers in Bioengineering and Biotechnology (2 papers)CLEAN - Soil Air Water (1 paper)Journal of Hazardous Materials (1 paper)Chemosphere (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yan Qu
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Environmental Chemistry 832
- Health, Toxicology and Mutagenesis 539
- Atmospheric Science 470
- Water Science and Technology 139
- Dermatology 43
Countries citing papers authored by Yan Qu
This map shows the geographic impact of Yan 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 Yan Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Qu more than expected).
Fields of papers citing papers by Yan Qu
This network shows the impact of papers produced by Yan 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 Yan Qu. The network helps show where Yan Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 286 | |
| 2 | 2010 | 237 | |
| 3 | 2009 | 163 | |
| 4 | 2009 | 135 | |
| 5 | 2014 | 95 | |
| 6 | 2014 | 30 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 19 | |
| 9 | 2011 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2009 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2017 | 1 |
About Yan Qu
Yan Qu is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis, Dermatology, Atmospheric Science and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (11 papers), Toxic Organic Pollutants Impact (7 papers), Atmospheric chemistry and aerosols (6 papers), Laser Applications in Dentistry and Medicine (5 papers), Dermatologic Treatments and Research (4 papers), Atmospheric Ozone and Climate (4 papers), Dermatology and Skin Diseases (2 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Environmental Chemistry (832 citations), Health, Toxicology and Mutagenesis (539 citations), Atmospheric Science (470 citations), Water Science and Technology (139 citations) and Dermatology (43 citations). Yan Qu has collaborated with scholars based in China and United States. Frequent co-authors include Chaojie Zhang, Qi Zhou, Fei Li, Nancy Merino, Rula A. Deeb, Elisabeth L. Hawley, Shaily Mahendra, Michael R. Hoffmann, Jing Chen and Jing Chen. Their work appears in journals such as Journal of Cosmetic Dermatology, Frontiers in Bioengineering and Biotechnology, CLEAN - Soil Air Water, Journal of Hazardous Materials and Chemosphere.
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.