Qinkai Li
Impact in
-
- Environmental Toxicology and Ecotoxicology
- Air Quality and Health Impacts
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 3
-
- Atmospheric chemistry and aerosols 9
- Co-authors
- Yongfang Jia (1 shared paper)Yanbo Ma (1 shared paper)Yujie Dai (1 shared paper)De‐Sheng Pei (1 shared paper)Na Chen (1 shared paper)Wan-Ping Bian (1 shared paper)Yanling Chen (1 shared paper)Junmin Quan (8 shared papers)
- Journals
- Atmospheric Research (2 papers)ChemMedChem (2 papers)Biochemical and Biophysical Research Communications (2 papers)The Science of The Total Environment (2 papers)The Journal of Medical Investigation (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qinkai Li
37 papers receiving 1.4k citations
Qinkai Li's Hit Papers
Peers
Comparison fields: 5 of 130
- Health, Toxicology and Mutagenesis 287
- Physiology 57
- Immunology 237
- Pollution 134
- Cancer Research 134
Countries citing papers authored by Qinkai Li
This map shows the geographic impact of Qinkai Li'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 Qinkai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinkai Li more than expected).
Fields of papers citing papers by Qinkai Li
This network shows the impact of papers produced by Qinkai Li. 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 Qinkai Li. The network helps show where Qinkai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinkai Li, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Zebrafish as a model system to study toxicology Hit paper breakdown → | 2013 | 467 |
| 2 | 2014 | 207 | |
| 3 | 2017 | 90 | |
| 4 | 2018 | 85 | |
| 5 | 2019 | 61 | |
| 6 | 2019 | 42 | |
| 7 | 2007 | 42 | |
| 8 | 2023 | 38 | |
| 9 | 2020 | 36 | |
| 10 | 2006 | 28 | |
| 11 | 2010 | 27 | |
| 12 | 2012 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2018 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2009 | 19 | |
| 17 | 2007 | 17 | |
| 18 | 2009 | 15 | |
| 19 | 2019 | 13 | |
| 20 | 2022 | 13 |
About Qinkai Li
Qinkai Li is a scholar working on Molecular Biology, Atmospheric Science, Health, Toxicology and Mutagenesis, Epidemiology and Environmental Engineering, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (7 papers), Air Quality Monitoring and Forecasting (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Metabolism, Diabetes, and Cancer (3 papers), interferon and immune responses (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (287 citations), Physiology (57 citations), Immunology (237 citations), Pollution (134 citations) and Cancer Research (134 citations). Qinkai Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yongfang Jia, Yanbo Ma, Yujie Dai, De‐Sheng Pei, Na Chen, Wan-Ping Bian, Yanling Chen, Junmin Quan, Shiyuan Ding and Qinhong Luo. Their work appears in journals such as Atmospheric Research, ChemMedChem, Biochemical and Biophysical Research Communications, The Science of The Total Environment and The Journal of Medical Investigation.
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.