Kun Lv
Impact in
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- Toxic Organic Pollutants Impact
- Air Quality and Health Impacts
- Environmental Chemistry top 5%
- Per- and polyfluoroalkyl substances research
Papers in
-
- Toxic Organic Pollutants Impact 9
- Air Quality and Health Impacts 5
-
- Carbon and Quantum Dots Applications 2
- Luminescence and Fluorescent Materials 2
- Co-authors
- Guibin Jiang (11 shared papers)Yawei Wang (11 shared papers)Wei Gao (8 shared papers)Hong Wang (4 shared papers)Jian Chen (4 shared papers)Pinggui Yi (4 shared papers)Jian‐Hui Jiang (2 shared papers)Dandan Cao (5 shared papers)
- Journals
- Journal of Environmental Sciences (3 papers)The Science of The Total Environment (2 papers)Journal of Hazardous Materials (2 papers)Sensors and Actuators B Chemical (2 papers)Environmental Pollution (1 paper)
- Partner nations
- China
In The Last Decade
Kun Lv
21 papers receiving 693 citations
Peers
Comparison fields: 5 of 73
- Health, Toxicology and Mutagenesis 295
- Environmental Chemistry 116
- Spectroscopy 128
- Biochemistry 39
- Pollution 63
Countries citing papers authored by Kun Lv
This map shows the geographic impact of Kun Lv'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 Kun Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Lv more than expected).
Fields of papers citing papers by Kun Lv
This network shows the impact of papers produced by Kun Lv. 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 Kun Lv. The network helps show where Kun Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Lv, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2018 | 86 | |
| 3 | 2018 | 52 | |
| 4 | 2018 | 41 | |
| 5 | 2021 | 37 | |
| 6 | 2016 | 37 | |
| 7 | 2018 | 30 | |
| 8 | 2018 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 29 | |
| 11 | 2022 | 26 | |
| 12 | 2020 | 21 | |
| 13 | 2018 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2021 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Kun Lv
Kun Lv is a scholar working on Health, Toxicology and Mutagenesis, Materials Chemistry, Environmental Chemistry, Atmospheric Science and Spectroscopy, having authored 21 papers that have together received 698 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (9 papers), Air Quality and Health Impacts (5 papers), Molecular Sensors and Ion Detection (4 papers), Per- and polyfluoroalkyl substances research (4 papers), Atmospheric chemistry and aerosols (4 papers), Conducting polymers and applications (2 papers), Carbon and Quantum Dots Applications (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (295 citations), Environmental Chemistry (116 citations), Spectroscopy (128 citations), Biochemistry (39 citations) and Pollution (63 citations). Kun Lv has collaborated with scholars based in China. Frequent co-authors include Guibin Jiang, Yawei Wang, Wei Gao, Hong Wang, Jian Chen, Pinggui Yi, Jian‐Hui Jiang, Dandan Cao, Zhan Wu and Jing Wu. Their work appears in journals such as Journal of Environmental Sciences, The Science of The Total Environment, Journal of Hazardous Materials, Sensors and Actuators B Chemical and Environmental Pollution.
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.