Kun Pan
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
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- Energy and Environment Impacts
Papers in
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- Air Quality and Health Impacts 13
- Climate Change and Health Impacts 8
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- Air Quality Monitoring and Forecasting 3
- Co-authors
- Jinzhuo Zhao (14 shared papers)Xuejiao Zeng (12 shared papers)Xihao Du (11 shared papers)Ji Zhou (10 shared papers)Qinghua Sun (8 shared papers)Jia Zhang (7 shared papers)Haidong Kan (7 shared papers)Shuo Jiang (8 shared papers)
- Journals
- Ecotoxicology and Environmental Safety (3 papers)Environmental Science and Pollution Research (3 papers)Inhalation Toxicology (2 papers)Particle and Fibre Toxicology (1 paper)Environmental Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Pan
15 papers receiving 360 citations
Peers
Comparison fields: 5 of 75
- Health, Toxicology and Mutagenesis 231
- Pollution 36
- Environmental Engineering 44
- Speech and Hearing 10
- Physiology 37
Countries citing papers authored by Kun Pan
This map shows the geographic impact of Kun Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Pan more than expected).
Fields of papers citing papers by Kun Pan
This network shows the impact of papers produced by Kun Pan. 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 Pan. The network helps show where Kun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2019 | 45 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 30 | |
| 5 | 2018 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2023 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2025 | 0 |
About Kun Pan
Kun Pan is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Physiology, Artificial Intelligence and Immunology, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (13 papers), Climate Change and Health Impacts (8 papers), Air Quality Monitoring and Forecasting (3 papers), Adipose Tissue and Metabolism (3 papers), Biomarkers in Disease Mechanisms (2 papers), Multimodal Machine Learning Applications (1 paper), Energy and Environment Impacts (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (231 citations), Pollution (36 citations), Environmental Engineering (44 citations), Speech and Hearing (10 citations) and Physiology (37 citations). Kun Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinzhuo Zhao, Xuejiao Zeng, Xihao Du, Ji Zhou, Qinghua Sun, Jia Zhang, Haidong Kan, Shuo Jiang, Liying Song and Yuquan Xie. Their work appears in journals such as Ecotoxicology and Environmental Safety, Environmental Science and Pollution Research, Inhalation Toxicology, Particle and Fibre Toxicology and Environmental Toxicology.
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.