Danqing Song

4.5k citations
160 papers · 3.8k · h-index 32

Impact in

  • Pharmacology top 0.5%
    • Berberine and alkaloids research
    • Alkaloids: synthesis and pharmacology
    • Plant-based Medicinal Research
  • Hepatology top 5%
    • Hepatitis C virus research

Papers in

    • Cancer therapeutics and mechanisms 14
    • Bioactive natural compounds 8
    • Berberine and alkaloids research 40
    • Alkaloids: synthesis and pharmacology 8

Danqing Song

155 papers receiving 3.8k citations

Peers

Danqing Song
Comparison fields: 5 of 130
  • Pharmacology 1.4k
  • Pharmacology 609
  • Hepatology 197
  • Molecular Medicine 116
  • Molecular Biology 1.5k
Replace Zhuorong Li with:
Zhuorong Li China
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Johannes M. Breuss Austria
Youwei Xu China
Hyo‐Jeong Lee South Korea
Yi‐Hsien Hsieh Taiwan
Toshihiko Hirano Japan
Kaiping Wang China
Min Li‐Weber Germany
Hui‐Ling Chiou Taiwan
Danqing Song relative to Zhuorong Li China Zhuorong Li's profile →
Citations per field
00.5×1.5×2.1×
Zhuorong Li · 1×
Citations per year

Countries citing papers authored by Danqing Song

Since Specialization
Citations

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

Fields of papers citing papers by Danqing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009383
2 2008223
3 2020180
4 2008153
5 201199
6 200888
7 202083
8 201074
9 201173
10 200570
11 201768
12 201966
13 201965
14 202261
15 200859
16 201058
17 201254
18 201250
19 201049
20 201648

About Danqing Song

Danqing Song is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Organic Chemistry and Oncology, having authored 160 papers that have together received 3.8k indexed citations. Recurring topics across this work include Berberine and alkaloids research (40 papers), Cancer therapeutics and mechanisms (14 papers), Hepatitis C virus research (12 papers), Antibiotic Resistance in Bacteria (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Viral Infections and Immunology Research (9 papers), Bioactive natural compounds (8 papers) and Alkaloids: synthesis and pharmacology (8 papers). The work is most often cited by research in Pharmacology (1.4k citations), Pharmacology (609 citations), Hepatology (197 citations), Molecular Medicine (116 citations) and Molecular Biology (1.5k citations). Danqing Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian‐Dong Jiang, Yanxiang Wang, Weijia Kong, Hongbin Deng, Yinghong Li, Yueming Wang, Qingxuan Zeng, Sheng Tang, Xuefu You and Jian‐Dong Jiang. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecules, Bioorganic Chemistry, Bioorganic & Medicinal Chemistry Letters and Acta Pharmaceutica Sinica B.

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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