Chunli Su

3.5k citations
99 papers · 2.9k · 1 hit paper · h-index 32

Impact in

Papers in

Chunli Su

93 papers receiving 2.9k citations

Chunli Su's Hit Papers

Prediction of nitrate concentration and the impact of land use types on groundwater in the Nansi Lake Basin 2025 · 22 citations
220Years since publication5101520

Peers

Chunli Su
Comparison fields: 5 of 107
  • Geochemistry and Petrology 1.1k
  • Environmental Chemistry 1.5k
  • Water Science and Technology 1.1k
  • Pollution 646
  • Health, Toxicology and Mutagenesis 678
Replace Yiqun Gan with:
Yiqun Gan China
Teng Ma China
Rosa Cidu Italy
Neus Otero Spain
Guanxing Huang China
Yuanzheng Zhai China
Josep Mas‐Pla Spain
Neil M. Dubrovsky United States
Abrahan Mora Mexico
Boris M. van Breukelen Netherlands
Chunli Su relative to Yiqun Gan China Yiqun Gan's profile →
Citations per field
00.5×1.5×
Yiqun Gan · 1×
Citations per year

Countries citing papers authored by Chunli Su

Since Specialization
Citations

This map shows the geographic impact of Chunli Su'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 Chunli Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Su more than expected).

Fields of papers citing papers by Chunli Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunli Su. 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 Chunli Su. The network helps show where Chunli Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Chunli Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chunli Su Line = papers co-authored together Chunli Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008169
2 2008162
3 2012123
4 2009121
5 2008113
6 2015100
7 201191
8 201990
9 201289
10 200681
11 201871
12 202171
13 201270
14 201664
15 202357
16 202057
17 201357
18 201656
19 200754
20 201554

About Chunli Su

Chunli Su is a scholar working on Environmental Chemistry, Geochemistry and Petrology, Water Science and Technology, Health, Toxicology and Mutagenesis and Pollution, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (45 papers), Groundwater and Isotope Geochemistry (39 papers), Heavy Metal Exposure and Toxicity (17 papers), Fluoride Effects and Removal (17 papers), Heavy metals in environment (14 papers), Mine drainage and remediation techniques (13 papers), Adsorption and biosorption for pollutant removal (8 papers) and Groundwater flow and contamination studies (8 papers). The work is most often cited by research in Geochemistry and Petrology (1.1k citations), Environmental Chemistry (1.5k citations), Water Science and Technology (1.1k citations), Pollution (646 citations) and Health, Toxicology and Mutagenesis (678 citations). Chunli Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xianjun Xie, Yanxin Wang, Yanxin Wang, Junxia Li, Mengyu Duan, С. Л. Шварцев, Zuoming Xie, Kunfu Pi, Teng Ma and A. S. Ellis. Their work appears in journals such as Journal of Hydrology, Applied Geochemistry, Journal of Geochemical Exploration, The Science of The Total Environment and Journal of Hazardous Materials.

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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