Congcong Wen

1.8k citations
120 papers · 1.5k · h-index 21

Impact in

    • Pharmacological Effects of Natural Compounds
    • Plant-based Medicinal Research
    • Berberine and alkaloids research
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Plant-based Medicinal Research 14
    • Pharmacogenetics and Drug Metabolism 10
    • Berberine and alkaloids research 10
    • Pharmacological Effects of Natural Compounds 9
    • Traditional Chinese Medicine Analysis 13

Congcong Wen

113 papers receiving 1.5k citations

Peers

Congcong Wen
Comparison fields: 5 of 125
  • Pharmacology 326
  • Neurology 233
  • Developmental Neuroscience 73
  • Complementary and alternative medicine 126
  • Biological Psychiatry 37
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Citations per field
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Citations per year

Countries citing papers authored by Congcong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A quantitative and morphometric study of the transformation of amoeboid microglia into ramified microglia in the developing corpus callosum in rats.
199288
2 201273
3 201861
4 201553
5 201452
6 201344
7 201743
8 201540
9 201540
10
Immunohistochemical study of amoeboid microglial cells in fetal rat brain.
199639
11
A quantitative study of the differentiation of microglial cells in the developing cerebral cortex in rats.
199337
12 199436
13 201535
14 201531
15 201930
16 199728
17 201927
18 199427
19 201525
20 201523

About Congcong Wen

Congcong Wen is a scholar working on Pharmacology, Complementary and alternative medicine, Pharmacology, Molecular Biology and Analytical Chemistry, having authored 120 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (16 papers), Plant-based Medicinal Research (14 papers), Traditional Chinese Medicine Analysis (13 papers), Pharmacogenetics and Drug Metabolism (10 papers), Phytochemistry and Biological Activities (10 papers), Berberine and alkaloids research (10 papers), Paraquat toxicity studies and treatments (9 papers) and Pharmacological Effects of Natural Compounds (9 papers). The work is most often cited by research in Pharmacology (326 citations), Neurology (233 citations), Developmental Neuroscience (73 citations), Complementary and alternative medicine (126 citations) and Biological Psychiatry (37 citations). Congcong Wen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Xianqin Wang, Jianshe Ma, Jeng‐Yi Shieh, Shuanghu Wang, Chih‐Hsun Wu, Eng‐Ang Ling, Lufeng Hu, E A Ling, Congying Wu and Peiwu Geng. Their work appears in journals such as Biomedical Chromatography, Journal of Chromatography B, BioMed Research International, Journal of Pharmaceutical and Biomedical Analysis and Acta Chromatographica.

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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