Faming Wu

415 citations
24 papers · 287 · h-index 10

Impact in

Papers in

    • Ethnobotanical and Medicinal Plants Studies 6
    • Polysaccharides and Plant Cell Walls 3
    • Phytochemistry and Biological Activities 3
    • Ginseng Biological Effects and Applications 3

Faming Wu

23 papers receiving 282 citations

Peers

Faming Wu
Comparison fields: 5 of 83
  • Complementary and alternative medicine 43
  • Rehabilitation 32
  • Nutrition and Dietetics 48
  • Filtration and Separation 6
  • Plant Science 102
Replace Érika Freitas Mota with:
Érika Freitas Mota Brazil
Jiachan Zhang China
Kwontack Hwang South Korea
Adamara Machado Nascimento Brazil
Alya Maimoona Pakistan
Katherine G. Maffucci United States
Lanfang Wu China
Yuchao Gao China
Puthanpura Sasidharan Sreeja India
Shaowen Huang China
Faming Wu relative to Érika Freitas Mota Brazil Érika Freitas Mota's profile →
Citations per field
00.5×6.2×
Érika Freitas Mota · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 201960
3 202218
4 202416
5 202216
6 202215
7 202310
8 202410
9 202110
10 20239
11 20239
12 20238
13 20257
14 20236
15 20235
16 20244
17 20254
18 20233
19 20252
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 24 papers that have together received 287 indexed citations. Recurring topics across this work include Ethnobotanical and Medicinal Plants Studies (6 papers), Traditional Chinese Medicine Analysis (4 papers), Polysaccharides and Plant Cell Walls (3 papers), Phytochemistry and Biological Activities (3 papers), Ginseng Biological Effects and Applications (3 papers), Rangeland Management and Livestock Ecology (3 papers), Pharmacological Effects of Natural Compounds (3 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 (32 citations), Nutrition and Dietetics (48 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, Yu Chen, Han Zhang, Xuqiang Nie, Chao Huang, Lixia Li, Bin Feng, Yuanfeng Zou and Zhongqiong Yin. Their work appears in journals such as Journal of Ethnobiology and Ethnomedicine, Frontiers in Pharmacology, International Journal of Biological Macromolecules, RSC Advances and Biological Trace Element Research.

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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