Fangfang Wu

1.5k citations
49 papers · 985 indexed · h-index 18
Topics
Traditional Chinese Medicine Analysis (10 papers)Metabolomics and Mass Spectrometry Studies (9 papers)Ginseng Biological Effects and Applications (8 papers)
Partner nations
ChinaMacaoUnited States

In The Last Decade

Fangfang Wu

48 papers receiving 970 citations

Peers

Fangfang Wu
Comparison fields: 5 of 119
  • Molecular Biology 571
  • Complementary and alternative medicine 205
  • Pharmacology 149
  • Plant Science 93
  • Oncology 84
Replace Yuanfeng Zhu with:
Yuanfeng Zhu China
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Somdet Srichairatanakool Thailand
Xianfu Gao China
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He Zhu China
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Wudayagiri Rajendra India
Fangfang Wu relative to Yuanfeng Zhu China Yuanfeng Zhu's profile →
Citations per field
00.5×1.5×2.4×
Yuanfeng Zhu · 1×
Citations per year

Countries citing papers authored by Fangfang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Wu. A scholar is included among the top collaborators of Fangfang 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 Fangfang Wu. Fangfang 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 2
2 8
3 13
4 14
5 8
6 13
7 7
8 4
9 44
10 11
11 13
12 8
13 53
14 16
15 26
16 47
17 20
18
Present condition and prospect of research on plant disease resistance
1
19
Automatic Extracting of Subject-concept in English Text Processing
1
20
Study and Practice of a Kind of Automatic Summarization System Focusing on News Articles
1

About Fangfang Wu

Fangfang Wu is a scholar working on Pharmacology, Complementary and alternative medicine and Analytical Chemistry, having authored 49 papers that have together received 985 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Ginseng Biological Effects and Applications (8 papers). The work is most often cited by research in Complementary and alternative medicine (205 citations), Pharmacology (149 citations) and Biological Psychiatry (25 citations). Fangfang Wu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Xijun Wang, Hui Sun, Aihua Zhang, Guangli Yan, Ying Han, Jianhua Miao, Aihua Zhang, Qiang Yang, Jing Li and Aihua Zhang. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Cancer 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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