Faming Wu

415 citations
24 papers · 287 indexed · h-index 10
Topics
Ethnobotanical and Medicinal Plants Studies (6 papers)Traditional Chinese Medicine Analysis (4 papers)Ginseng Biological Effects and Applications (3 papers)
Partner nations
ChinaNorwayIreland

In The Last Decade

Faming Wu

23 papers receiving 282 citations

Peers

Faming Wu
Comparison fields: 5 of 83
  • Plant Science 102
  • Molecular Biology 81
  • Nutrition and Dietetics 48
  • Complementary and alternative medicine 43
  • Food Science 36
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-authorship network of co-authors of Faming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Faming Wu. A scholar is included among the top collaborators of Faming Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faming Wu. Faming Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 2
3 0
4 4
5 4
6 2
7 16
8 1
9 10
10 9
11 10
12 5
13 3
14 8
15 6
16 2
17 18
18 16
19 60
20 69

About Faming Wu

Faming Wu is a scholar working on Complementary and alternative medicine, Plant Science 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) and Ginseng Biological Effects and Applications (3 papers). The work is most often cited by research in Complementary and alternative medicine (43 citations), Rehabilitation (32 citations) and Nutrition and Dietetics (48 citations). Faming Wu has collaborated with scholars based in China, Norway and Ireland. Frequent co-authors include Jian Xie, Xiaohui Li, Yu Chen, Xuqiang Nie, Han Zhang, Berit Smestad Paulsen, Yuanfeng Zou, Zhongqiong Yin, Yuping Fu and Xu Song. Their work appears in journals such as Carbohydrate Polymers, Annals of the Rheumatic Diseases 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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