Kun Shan
Impact in
- Environmental Chemistry top 1%
- Aquatic Ecosystems and Phytoplankton Dynamics
- Marine Toxins and Detection Methods
- Oceanography top 2%
- Marine and coastal ecosystems
Papers in
-
- Aquatic Ecosystems and Phytoplankton Dynamics 25
- Marine Toxins and Detection Methods 4
- Oceanography 24
- Marine and coastal ecosystems 23
- Co-authors
- Lirong Song (12 shared papers)Qichao Zhou (8 shared papers)Xiaoxiao Wang (7 shared papers)Lin Li (4 shared papers)Lingling Zheng (3 shared papers)Nanqin Gan (5 shared papers)Mingsheng Shang (7 shared papers)Botian Zhou (5 shared papers)
- Journals
- Water Research (4 papers)The Science of The Total Environment (4 papers)Water (3 papers)Harmful Algae (3 papers)Journal of Environmental Sciences (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kun Shan
33 papers receiving 817 citations
Kun Shan's Hit Papers
Peers
Comparison fields: 5 of 69
- Environmental Chemistry 612
- Oceanography 477
- Water Science and Technology 179
- Ecology 265
- Industrial and Manufacturing Engineering 68
Countries citing papers authored by Kun Shan
This map shows the geographic impact of Kun Shan'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 Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Shan more than expected).
Fields of papers citing papers by Kun Shan
This network shows the impact of papers produced by Kun Shan. 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 Shan. The network helps show where Kun Shan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Shan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2015 | 83 | |
| 3 | Harmful cyanobacteria-diatom/dinoflagellate blooms and their cyanotoxins in freshwaters: A nonnegligible chronic health and ecological hazard Hit paper breakdown → | 2023 | 77 |
| 4 | 2014 | 72 | |
| 5 | 2016 | 60 | |
| 6 | 2016 | 45 | |
| 7 | 2019 | 42 | |
| 8 | 2014 | 40 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2014 | 23 | |
| 14 | 2014 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 15 | |
| 18 | 2024 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2024 | 12 |
About Kun Shan
Kun Shan is a scholar working on Environmental Chemistry, Oceanography, Water Science and Technology, Ecology and Environmental Engineering, having authored 34 papers that have together received 841 indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (25 papers), Marine and coastal ecosystems (23 papers), Water Quality and Pollution Assessment (8 papers), Hydrological Forecasting Using AI (6 papers), Aquatic Ecosystems and Biodiversity (5 papers), Marine Toxins and Detection Methods (4 papers), Biocrusts and Microbial Ecology (3 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Environmental Chemistry (612 citations), Oceanography (477 citations), Water Science and Technology (179 citations), Ecology (265 citations) and Industrial and Manufacturing Engineering (68 citations). Kun Shan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lirong Song, Qichao Zhou, Xiaoxiao Wang, Lin Li, Lingling Zheng, Nanqin Gan, Mingsheng Shang, Botian Zhou, Hong Yang and Haiyan Ma. Their work appears in journals such as Water Research, The Science of The Total Environment, Water, Harmful Algae and Journal of Environmental Sciences.
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.