Puqing Song

488 citations
40 papers · 349 indexed · h-index 8
Topics
Identification and Quantification in Food (14 papers)Marine and fisheries research (13 papers)Genetic diversity and population structure (12 papers)
Journals
SHILAP Revista de lepidopterologíaChemosphereEnvironmental Science and Pollution Research
Partner nations
ChinaPakistanTaiwan

In The Last Decade

Puqing Song

36 papers receiving 345 citations

Peers

Puqing Song
Comparison fields: 5 of 63
  • Pollution 191
  • Industrial and Manufacturing Engineering 116
  • Ecology 81
  • Global and Planetary Change 65
  • Molecular Biology 57
Replace Gustavo F. de Carvalho-Souza with:
Gustavo F. de Carvalho-Souza Spain
Ana Ventero Spain
Mitsuharu Yagi Japan
Kurt Schmid Brazil
R Jeyabaskaran India
R.R.M.K.P. Ranatunga Sri Lanka
Geslaine Rafaela Lemos Gonçalves Brazil
Marieke Desender Belgium
Alina M. Wieczorek Ireland
Puqing Song relative to Gustavo F. de Carvalho-Souza Spain Gustavo F. de Carvalho-Souza's profile →
Citations per field
00.5×7.1×
Gustavo F. de Carvalho-Souza · 1×
Citations per year

Countries citing papers authored by Puqing Song

Since Specialization
Citations

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

Fields of papers citing papers by Puqing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puqing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Puqing Song. A scholar is included among the top collaborators of Puqing 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 Puqing Song. Puqing 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
#WorkIndexed citations
1 0
2 1
3 4
4 2
5 2
6 0
7 5
8 6
9 6
10 2
11 6
12 2
13 2
14 161
15 4
16 2
17 6
18 4
19 2
20 47

About Puqing Song

Puqing Song is a scholar working on Aquatic Science, Global and Planetary Change and Nature and Landscape Conservation, having authored 40 papers that have together received 349 indexed citations. Recurring topics across this work include Identification and Quantification in Food (14 papers), Marine and fisheries research (13 papers) and Genetic diversity and population structure (12 papers). The work is most often cited by research in Pollution (191 citations), Industrial and Manufacturing Engineering (116 citations) and Aquatic Science (24 citations). Puqing Song has collaborated with scholars based in China, Pakistan and Taiwan. Frequent co-authors include Longshan Lin, Heshan Lin, Mengyun Chen, Fengfeng Le, Yusheng Zhang, Jun Bo, Fukun Hong, Ronghui Zheng, Chao Fang and Jingli Mu. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemosphere and Environmental Science and Pollution Research.

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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