Pan Qin

14 total papers · 832 total citations
13 papers, 702 citations indexed

About

Pan Qin is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Pan Qin has authored 13 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pollution, 5 papers in Industrial and Manufacturing Engineering and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Pan Qin's work include Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Water Quality and Pollution Assessment (3 papers). Pan Qin is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (9 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Water Quality and Pollution Assessment (3 papers). Pan Qin collaborates with scholars based in China. Pan Qin's co-authors include Shaoyong Lu, Xiaohui Liu, Xiaochun Guo, Ying Liu, Tingting Zhang, Beidou Xi, Shirong Xu, Fengchang Wu, Lei Wang and Bin Bi and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.

In The Last Decade

Pan Qin

12 papers receiving 700 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pan Qin 441 195 134 125 92 13 702
Xinshu Jiang 388 0.9× 264 1.4× 72 0.5× 143 1.1× 87 0.9× 20 781
Mike Revitt 357 0.8× 121 0.6× 149 1.1× 167 1.3× 81 0.9× 8 634
Arne Wieland 396 0.9× 210 1.1× 105 0.8× 207 1.7× 104 1.1× 12 640
Eduardo Marco 590 1.3× 189 1.0× 96 0.7× 98 0.8× 166 1.8× 10 847
Emmanuel Stephen Odinga 347 0.8× 176 0.9× 74 0.6× 125 1.0× 55 0.6× 16 688
Fredrick Owino Gudda 415 0.9× 162 0.8× 100 0.7× 173 1.4× 103 1.1× 26 868
Adam Sochacki 457 1.0× 120 0.6× 226 1.7× 122 1.0× 86 0.9× 33 742
Mark Murphy 637 1.4× 270 1.4× 70 0.5× 141 1.1× 112 1.2× 12 848
Mercè Boy-Roura 400 0.9× 94 0.5× 72 0.5× 233 1.9× 101 1.1× 14 881
Jasmin Rauseo 501 1.1× 217 1.1× 71 0.5× 100 0.8× 73 0.8× 42 773

Countries citing papers authored by Pan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Pan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Qin. A scholar is included among the top collaborators of Pan Qin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pan Qin. Pan Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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