Feng‐Ming Qi

873 citations
34 papers · 750 · h-index 16

Impact in

Papers in

    • Bioactive Natural Diterpenoids Research 9
    • Natural product bioactivities and synthesis 9
    • Plant biochemistry and biosynthesis 5
    • Protein Interaction Studies and Fluorescence Analysis 4
    • Phytochemistry and Biological Activities 13

Feng‐Ming Qi

33 papers receiving 740 citations

Peers

Feng‐Ming Qi
Comparison fields: 5 of 85
  • Complementary and alternative medicine 80
  • Pharmacology 67
  • Pharmaceutical Science 42
  • Biotechnology 55
  • Pharmacology 94
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Jin‐Hai Yu China
Xiuling Yu China
Aparna Shukla India
Yanping Hong China
Olayinka O. Ajani Nigeria
Xiaofang Hou China
Päivi Järvinen Finland
Daniel Rinaldo Brazil
Patricia Y. Hayes Australia
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Citations per field
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Citations per year

Countries citing papers authored by Feng‐Ming Qi

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Ming Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Ming Qi. 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 Feng‐Ming Qi. The network helps show where Feng‐Ming Qi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008107
2 201662
3 201156
4 201255
5 201653
6 201737
7 201931
8 201131
9 201629
10 201128
11 201826
12 201425
13 201423
14 201819
15 202017
16 201416
17 201915
18 202115
19 202015
20 201413

About Feng‐Ming Qi

Feng‐Ming Qi is a scholar working on Molecular Biology, Plant Science, Biochemistry, Complementary and alternative medicine and Pharmacology, having authored 34 papers that have together received 750 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (13 papers), Bioactive Natural Diterpenoids Research (9 papers), Natural product bioactivities and synthesis (9 papers), Traditional and Medicinal Uses of Annonaceae (7 papers), Plant biochemistry and biosynthesis (5 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Medicinal Plant Extracts Effects (4 papers) and Sesquiterpenes and Asteraceae Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (80 citations), Pharmacology (67 citations), Pharmaceutical Science (42 citations), Biotechnology (55 citations) and Pharmacology (94 citations). Feng‐Ming Qi has collaborated with scholars based in China. Frequent co-authors include Zhan‐Xin Zhang, Dong‐Qing Fei, Rui Wang, Chunming Wang, Yong-Jie Li, Ying‐Hong Liu, Qiaoling Hu, Dejuan Zhi, Lizhen Huang and Ying Yang. Their work appears in journals such as Organic & Biomolecular Chemistry, Fitoterapia, RSC Advances, Phytochemistry Letters and Organic Letters.

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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