Kun Shan

32 papers and 733 indexed citations i.

About

Kun Shan is a scholar working on Environmental Chemistry, Oceanography and Water Science and Technology. According to data from OpenAlex, Kun Shan has authored 32 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Chemistry, 24 papers in Oceanography and 12 papers in Water Science and Technology. Recurrent topics in Kun Shan’s work include Aquatic Ecosystems and Phytoplankton Dynamics (24 papers), Marine and coastal ecosystems (23 papers) and Water Quality and Pollution Assessment (8 papers). Kun Shan is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (24 papers), Marine and coastal ecosystems (23 papers) and Water Quality and Pollution Assessment (8 papers). Kun Shan collaborates with scholars based in China, United Kingdom and United States. Kun Shan's co-authors include Lirong Song, Qichao Zhou, Xiaoxiao Wang, Lin Li, Lingling Zheng, Nanqin Gan, Mingsheng Shang, Haiyan Ma, Hong Yang and Botian Zhou and has published in prestigious journals such as Water Research, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Co-authorship network of co-authors of Kun Shan i

Fields of papers citing papers by Kun Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Kun Shan

Since Specialization
Citations

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).

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.

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2025