Jin-le Cheng

415 citations
26 papers · 351 · h-index 10

Impact in

Papers in

    • Traditional Chinese Medicine Analysis 11
    • Traditional Chinese Medicine Studies 6
    • Ginseng Biological Effects and Applications 3
    • Metabolomics and Mass Spectrometry Studies 3
    • Natural product bioactivities and synthesis 3

Jin-le Cheng

26 papers receiving 347 citations

Peers

Jin-le Cheng
Comparison fields: 5 of 66
  • Complementary and alternative medicine 119
  • Analytical Chemistry 101
  • Pharmacology 50
  • Biophysics 32
  • Biochemistry 25
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Citations per year

Countries citing papers authored by Jin-le Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jin-le Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-le Cheng. 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 Jin-le Cheng. The network helps show where Jin-le Cheng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201844
3 201934
4 201033
5 201732
6 201827
7 201614
8 202413
9 201813
10 201613
11 20229
12 20118
13
[The species traceability of the ultrafine powder and the cell wall-broken powder of herbal medicine based on DNA barcoding].
20156
14 20175
15 20154
16
[HPLC fingerprint of flavonoids and phenols of Dendrobium nobile].
20093
17
Research Progress on Ultra-fine Pulverization Technology in Traditional Chinese Medicine
20072
18 20152
19 20221
20
Preliminary Study on the Dose-effect Relation of Ultrafine Granular Powder of Herbal Medicine
20161

About Jin-le Cheng

Jin-le Cheng is a scholar working on Complementary and alternative medicine, Molecular Biology, Plant Science, Pharmacology and Analytical Chemistry, having authored 26 papers that have together received 351 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (11 papers), Traditional Chinese Medicine Studies (6 papers), Ginseng Biological Effects and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Plant-based Medicinal Research (3 papers), Natural product bioactivities and synthesis (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Chromatography in Natural Products (2 papers). The work is most often cited by research in Complementary and alternative medicine (119 citations), Analytical Chemistry (101 citations), Pharmacology (50 citations), Biophysics (32 citations) and Biochemistry (25 citations). Jin-le Cheng has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hongliang Ma, Jiwen Wang, Yongjun Chen, Yi‐Zeng Liang, Lunzhao Yi, Xiaona Xu, De‐an Guo, Wei Peng, Wei Zhang and Weiwei Su. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Plant Science, Industrial Crops and Products, Food Chemistry and Food Science & Nutrition.

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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