Qin Song

897 citations
47 papers · 638 indexed · h-index 15
Topics
Plant Molecular Biology Research (9 papers)Algal biology and biofuel production (8 papers)Plant Gene Expression Analysis (6 papers)
Partner nations
ChinaTaiwanUnited States

In The Last Decade

Qin Song

41 papers receiving 624 citations

Peers

Qin Song
Comparison fields: 5 of 110
  • Molecular Biology 329
  • Plant Science 269
  • Pulmonary and Respiratory Medicine 78
  • Biomedical Engineering 42
  • Cancer Research 42
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Citations per field
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Citations per year

Countries citing papers authored by Qin Song

Since Specialization
Citations

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

Fields of papers citing papers by Qin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Song. A scholar is included among the top collaborators of Qin 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 Qin Song. Qin 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 0
3 1
4 0
5 7
6 1
7 9
8 56
9 22
10 78
11 6
12 93
13
Evaluation on resource utilization potential of typical agricultural waste in southwest China.
1
14
Chinese microalgal industry in the thirteen fifth plan: Cope in a big healthy industry, fusion with a large aquatic industry
1
15
The comprehensive utilization status and countermeasures of the straw resources in Guizhou.
0
16
Ultrasonic Extraction of Polysaccharides from Enteromorpha
1
17 1
18
Optimization of technological process for synthesizing biodiesel from Suaeda salsa
4
19
Optimization of Technological Conditions in Synthesis of Biodiesel from Kosteletzkya virginica Oil with Supercritical Methanol
1
20
Streptomyces sp.M095 from Jiaozhou bay produces inhibitory-fungal antibiotic,holomycin
1

About Qin Song

Qin Song is a scholar working on Renewable Energy, Sustainability and the Environment, Plant Science and Aquatic Science, having authored 47 papers that have together received 638 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (9 papers), Algal biology and biofuel production (8 papers) and Plant Gene Expression Analysis (6 papers). The work is most often cited by research in Plant Science (269 citations), Molecular Biology (329 citations) and Biotechnology (30 citations). Qin Song has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Keming Luo, Changzheng Xu, Hongbin Wei, Jian Hu, Keming Luo, Xuemei Jiang, Jinjin Zhang, Yunxia Ji, Hui Yang and Qian Zhang. Their work appears in journals such as The Plant Cell, PLANT PHYSIOLOGY and Langmuir.

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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