Can Peng

2.3k citations
101 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 7
    • Natural product bioactivities and synthesis 6
    • Pharmacological Effects of Natural Compounds 9
    • Fungal Biology and Applications 6
    • Plant-based Medicinal Research 5

Can Peng

91 papers receiving 1.7k citations

Hit Papers

Exosomes from M1-Polarized Macrophages Enhance Paclitaxel Antitumor Activity by Activating Macrophages-Mediated Inflammation 2019 · 382 citations
3820+2+4Years since publication100200300

Peers

Can Peng
Comparison fields: 5 of 131
  • Pharmacology 166
  • Complementary and alternative medicine 154
  • Cancer Research 242
  • Molecular Biology 829
  • Biomaterials 152
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Citations per field
00.5×1.5×
Yuanyan Liu · 1×
Citations per year

Countries citing papers authored by Can Peng

Since Specialization
Citations

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

Fields of papers citing papers by Can Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exosomes from M1-Polarized Macrophages Enhance Paclitaxel Antitumor Activity by Activating Macrophages-Mediated Inflammation
Hit paper breakdown →
2019382
2 2019155
3 202063
4 201855
5 202254
6 202045
7 202340
8 201240
9 201337
10 202034
11 202134
12 202033
13 202330
14 202030
15 201928
16 202028
17 202226
18 202226
19 202226
20 201923

About Can Peng

Can Peng is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Pharmacology and Genetics, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Pharmacological Effects of Natural Compounds (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Prenatal Screening and Diagnostics (6 papers), Natural product bioactivities and synthesis (6 papers), Fungal Biology and Applications (6 papers), Plant-based Medicinal Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Pharmacology (166 citations), Complementary and alternative medicine (154 citations), Cancer Research (242 citations), Molecular Biology (829 citations) and Biomaterials (152 citations). Can Peng has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Weidong Chen, Lei Wang, Daiyin Peng, Qianqian Huang, Hong Chen, Huihui Wang, Yifan Wu, Zhen Qiu, Liang Yao and Xianchun Duan. Their work appears in journals such as Frontiers in Pharmacology, Journal of Pharmaceutical and Biomedical Analysis, International Journal of Pharmaceutics, Molecular Cytogenetics and Nutrients.

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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