Junbin Song

617 citations
7 papers · 198 · h-index 6

Impact in

    • Tryptophan and brain disorders
    • Plant-derived Lignans Synthesis and Bioactivity
    • Genomics, phytochemicals, and oxidative stress
    • Ubiquitin and proteasome pathways

Papers in

    • Genomics, phytochemicals, and oxidative stress 2
    • Metabolism, Diabetes, and Cancer 1
    • Telomeres, Telomerase, and Senescence 2

Junbin Song

7 papers receiving 196 citations

Peers

Junbin Song
Comparison fields: 5 of 64
  • Biological Psychiatry 15
  • Molecular Biology 144
  • Aging 3
  • Complementary and alternative medicine 11
  • Geriatrics and Gerontology 5
Replace Paris Ward with:
Paris Ward United States
Lianwen Zheng China
Yutao Wang China
Chaoran Dong China
Yanfang Zheng China
Ga-Eun Lee South Korea
Ning Zhou China
Hong Cui China
Jacopo Lucci Italy
Junbin Song relative to Paris Ward United States Paris Ward's profile →
Citations per field
00.5×2.7×
Paris Ward · 1×
Citations per year

Countries citing papers authored by Junbin Song

Since Specialization
Citations

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

Fields of papers citing papers by Junbin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 201363
2 202344
3 202042
4 202120
5 202015
6 20189
7 20075

About Junbin Song

Junbin Song is a scholar working on Molecular Biology, Physiology, Plant Science, Surgery and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 198 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Phytochemistry and Biological Activities (1 paper), Plant Molecular Biology Research (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Biological Psychiatry (15 citations), Molecular Biology (144 citations), Aging (3 citations), Complementary and alternative medicine (11 citations) and Geriatrics and Gerontology (5 citations). Junbin Song has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Dan Ye, Pu Wang, Young‐Seuk Bae, Yaodong Qi, Chongming Wu, Peigen Xiao, Zhao Zhang, Jin Zhang, Haitao Liu and Jiushi Liu. Their work appears in journals such as Phytomedicine, Journal of Clinical Investigation, Advances in experimental medicine and biology, Letters in Applied Microbiology and BMB Reports.

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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