Ping Song

414 citations
29 papers · 300 · h-index 9

Impact in

Papers in

    • Fungal and yeast genetics research 5
    • CRISPR and Genetic Engineering 3
    • Protein purification and stability 2
    • Fungal Biology and Applications 7
    • Microbial Natural Products and Biosynthesis 3

Ping Song

28 papers receiving 298 citations

Peers

Ping Song
Comparison fields: 5 of 80
  • Biological Psychiatry 38
  • Behavioral Neuroscience 19
  • Pharmacology 53
  • Business and International Management 4
  • Molecular Biology 127
Replace Jinyan Jiang with:
Jinyan Jiang China
Karimeh Haghani Iran
Lucrezia Irene Maria Campagnoli Italy
Wenxia Jiang China
Rabab S. Hamad Egypt
Shuping Zhong China
Jinfeng Ding China
O Nishikaze Japan
T. Connor United States
Kenji Wakui Japan
Ping Song relative to Jinyan Jiang China Jinyan Jiang's profile →
Citations per field
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Jinyan Jiang · 1×
Citations per year

Countries citing papers authored by Ping Song

Since Specialization
Citations

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

Fields of papers citing papers by Ping Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ping Song, 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 Ping Song Line = papers co-authored together Ping Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 200944
3 202422
4 201618
5 202315
6 202111
7 201810
8 20209
9 20228
10 20188
11 20108
12 20186
13 20196
14 20166
15 20244
16 20234
17 20254
18 20214
19 20214
20 20183

About Ping Song

Ping Song is a scholar working on Molecular Biology, Pharmacology, Plant Science, Renewable Energy, Sustainability and the Environment and Pollution, having authored 29 papers that have together received 300 indexed citations. Recurring topics across this work include Fungal Biology and Applications (7 papers), Fungal and yeast genetics research (5 papers), Microbial Natural Products and Biosynthesis (3 papers), CRISPR and Genetic Engineering (3 papers), Algal biology and biofuel production (3 papers), Polysaccharides and Plant Cell Walls (2 papers), Protein purification and stability (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Biological Psychiatry (38 citations), Behavioral Neuroscience (19 citations), Pharmacology (53 citations), Business and International Management (4 citations) and Molecular Biology (127 citations). Ping Song has collaborated with scholars based in China, United States and India. Frequent co-authors include Qilong Wang, Ming-Hui Zou, Miao Zhang, Wencheng Zhang, Ding Ye, Shuangxi Wang, Ming-Hui Zou, Yong Wu, Jian Xu and Xiao‐Jun Ji. Their work appears in journals such as Applied Microbiology and Biotechnology, Frontiers in Microbiology, International Journal of Biological Macromolecules, Analytical and Bioanalytical Chemistry and Biomarker 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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