Bin Song

764 citations
36 papers · 313 · h-index 11

Impact in

    • Fungal Biology and Applications
    • Microbial Natural Products and Biosynthesis
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Plant and Fungal Species Descriptions 2
    • Fungal Biology and Applications 10

Bin Song

34 papers receiving 304 citations

Peers

Bin Song
Comparison fields: 5 of 86
  • Pharmacology 80
  • Immunology 70
  • Complementary and alternative medicine 17
  • Molecular Biology 132
  • Plant Science 67
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Bin Song relative to Kosuke Oda Japan Kosuke Oda's profile →
Citations per field
00.5×2.8×
Kosuke Oda · 1×
Citations per year

Countries citing papers authored by Bin Song

Since Specialization
Citations

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

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201341
2 202134
3 202328
4 201325
5 201321
6 202320
7 202019
8 201015
9 202215
10 201013
11
Comparison of selected chemical component levels in Cordyceps guangdongensis, C. sinensis and C. militaris.
200912
12 202410
13
Changes in Quality of Pork and Beef during Storage and Electronic Nose Analysis
20048
14 20205
15
GC-MS Analysis of Fatty Acids from Cordyceps guangdongensis
20104
16
Effect of Soy Protein Film Packaging on the Qualities and the Microbial Growth of Beef during Storage
20044
17 20244
18 20144
19
Three taxa of Phallaceae in HMAS, China
20024
20
Optimization of Some Cultivation Conditions of Cordyceps militaris
20063

About Bin Song

Bin Song is a scholar working on Molecular Biology, Pharmacology, Plant Science, Immunology and Complementary and alternative medicine, having authored 36 papers that have together received 313 indexed citations. Recurring topics across this work include Fungal Biology and Applications (10 papers), interferon and immune responses (4 papers), Immune Response and Inflammation (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Plant Molecular Biology Research (2 papers), Food Quality and Safety Studies (2 papers) and Plant and Fungal Species Descriptions (2 papers). The work is most often cited by research in Pharmacology (80 citations), Immunology (70 citations), Complementary and alternative medicine (17 citations), Molecular Biology (132 citations) and Plant Science (67 citations). Bin Song has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tai–Hui Li, Jie Zheng, Wang-Qiu Deng, Peng Li, Qunying Lin, Wenjuan Yan, Dahai Luo, Ning Song, Wenjia Shi and Cheng Luo. Their work appears in journals such as JAMA Network Open, Food and Chemical Toxicology, Immunity, Systems Biology in Reproductive Medicine and Analytical Biochemistry.

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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