Tiejun Song
Impact in
- Pollution top 10%
- Heavy metals in environment
-
- Heavy Metal Exposure and Toxicity
- Mercury impact and mitigation studies
Papers in
-
- Heavy metals in environment 4
- Wastewater Treatment and Nitrogen Removal 3
- Ecology 7
- Coastal wetland ecosystem dynamics 5
- Peatlands and Wetlands Ecology 4
- Co-authors
- Shouzheng Tong (11 shared papers)Xiaosi Su (8 shared papers)Yu An (9 shared papers)Geng Cui (4 shared papers)Yan Liu (1 shared paper)Tao Zhou (1 shared paper)Cong Liu (1 shared paper)Bo Liu (2 shared papers)
- Journals
- CATENA (3 papers)Human and Ecological Risk Assessment An International Journal (2 papers)Diversity (2 papers)Water Research (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- ChinaNew ZealandRussia
In The Last Decade
Tiejun Song
20 papers receiving 276 citations
Peers
Comparison fields: 5 of 50
- Pollution 98
- Health, Toxicology and Mutagenesis 86
- Nutrition and Dietetics 85
- Geochemistry and Petrology 30
- Radiological and Ultrasound Technology 21
Countries citing papers authored by Tiejun Song
This map shows the geographic impact of Tiejun Song'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 Tiejun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Song more than expected).
Fields of papers citing papers by Tiejun Song
This network shows the impact of papers produced by Tiejun Song. 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 Tiejun Song. The network helps show where Tiejun Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Song, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2018 | 32 | |
| 3 | 2017 | 28 | |
| 4 | 2021 | 20 | |
| 5 | 2023 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2024 | 14 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2025 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 1 | |
| 20 | 2016 | 1 |
About Tiejun Song
Tiejun Song is a scholar working on Pollution, Ecology, Health, Toxicology and Mutagenesis, Environmental Chemistry and Nutrition and Dietetics, having authored 22 papers that have together received 281 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (6 papers), Coastal wetland ecosystem dynamics (5 papers), Peatlands and Wetlands Ecology (4 papers), Selenium in Biological Systems (4 papers), Heavy metals in environment (4 papers), Mercury impact and mitigation studies (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Soil erosion and sediment transport (2 papers). The work is most often cited by research in Pollution (98 citations), Health, Toxicology and Mutagenesis (86 citations), Nutrition and Dietetics (85 citations), Geochemistry and Petrology (30 citations) and Radiological and Ultrasound Technology (21 citations). Tiejun Song has collaborated with scholars based in China, New Zealand and Russia. Frequent co-authors include Shouzheng Tong, Xiaosi Su, Yu An, Geng Cui, Yan Liu, Tao Zhou, Cong Liu, Tao Zhou, Bo Liu and Yaoxuan Chen. Their work appears in journals such as CATENA, Human and Ecological Risk Assessment An International Journal, Diversity, Water Research and The Science of The Total Environment.
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.