Guanling Song

1.3k total citations
36 papers, 913 citations indexed

About

Guanling Song is a scholar working on Materials Chemistry, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Guanling Song has authored 36 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 11 papers in Pollution and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Guanling Song's work include Nanoparticles: synthesis and applications (13 papers), Air Quality and Health Impacts (4 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Guanling Song is often cited by papers focused on Nanoparticles: synthesis and applications (13 papers), Air Quality and Health Impacts (4 papers) and Constructed Wetlands for Wastewater Treatment (4 papers). Guanling Song collaborates with scholars based in China, Japan and United States. Guanling Song's co-authors include Wenhua Hou, Qunhui Wang, Xiao Chen, Yuan Gao, Chun‐yang Zhang, Hao Wu, Haixia Wang, Li Li, Yunhua Hu and Yaxin Deng and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Life Sciences.

In The Last Decade

Guanling Song

32 papers receiving 890 citations

Peers

Guanling Song
Comparison fields: 5 of 99
  • Materials Chemistry 325
  • Pollution 267
  • Plant Science 255
  • Health, Toxicology and Mutagenesis 130
  • Industrial and Manufacturing Engineering 128
Replace Cátia A. Sousa with:
Cátia A. Sousa Portugal
Imran Azeem China
Yanli Liu China
Domingo Martínez-Fernández Czechia
Seham M. Hamed Egypt
Shiqing Sun China
Juncai Wang China
Xiangxiang Li China
Hakwon Yoon South Korea
Pratishtha Gupta India
Cátia A. Sousa Portugal View profile →
Citations per field, relative to Guanling Song
Guanling Song · 1×
Citations per year, relative to Guanling Song
Guanling Song · 1×

Countries citing papers authored by Guanling Song

Since Specialization
Citations

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

Fields of papers citing papers by Guanling Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanling Song

This figure shows the co-authorship network connecting the top 25 collaborators of Guanling Song. A scholar is included among the top collaborators of Guanling Song 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 Guanling Song. Guanling Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 3
5 1
6 4
7 3
8 8
9 0
10 5
11 13
12 15
13 22
14 29
15 17
16 35
17 11
18 81
19 18
20 285

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026