Faming Wu

460 citations
25 papers · 329 · h-index 11

Impact in

Papers in

    • Polysaccharides and Plant Cell Walls 3
    • Ethnobotanical and Medicinal Plants Studies 3
    • Ginseng Biological Effects and Applications 3
    • Natural product bioactivities and synthesis 2

Faming Wu

24 papers receiving 324 citations

Peers

Faming Wu
Comparison fields: 5 of 85
  • Complementary and alternative medicine 43
  • Rehabilitation 34
  • Nutrition and Dietetics 50
  • Filtration and Separation 6
  • Plant Science 102
Replace Hanyi Hua with:
Hanyi Hua China
Tin-Long Wong Hong Kong
Luan Lin China
Mariana Moreira Figueira Brazil
D. Ghosh India
Shahram Miraghaee Iran
Alya Maimoona Pakistan
Adamara Machado Nascimento Brazil
Eun‐Young Choi South Korea
Keyao Dai China
Faming Wu relative to Hanyi Hua China Hanyi Hua's profile →
Citations per field
00.5×11×
Hanyi Hua · 1×
Citations per year

Countries citing papers authored by Faming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Faming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201875
2 201965
3 202419
4 202219
5 202219
6 202218
7 202515
8 202413
9 202311
10 202311
11 202110
12 20239
13 20239
14 20237
15 20236
16 20246
17 20254
18 20233
19 20232
20 20242

About Faming Wu

Faming Wu is a scholar working on Plant Science, Molecular Biology, Complementary and alternative medicine, Pharmacology and Pharmacology, having authored 25 papers that have together received 329 indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (3 papers), Traditional Chinese Medicine Analysis (3 papers), Ethnobotanical and Medicinal Plants Studies (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Ginseng Biological Effects and Applications (3 papers), Biological and pharmacological studies of plants (2 papers), Natural product bioactivities and synthesis (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Complementary and alternative medicine (43 citations), Rehabilitation (34 citations), Nutrition and Dietetics (50 citations), Filtration and Separation (6 citations) and Plant Science (102 citations). Faming Wu has collaborated with scholars based in China, Norway and Taiwan. Frequent co-authors include Jian Xie, Xiaohui Li, Han Zhang, Yu Chen, Jianwen Yang, Xuqiang Nie, Yuanfeng Zou, Lixia Li, Chao Huang and Yuping Fu. Their work appears in journals such as Frontiers in Pharmacology, Journal of Ethnobiology and Ethnomedicine, BMC Plant Biology, Biological Trace Element Research and Frontiers in Plant Science.

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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