Feifei Wu

476 citations
30 papers · 307 · h-index 10

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Natural product bioactivities and synthesis 2
    • Genomics and Phylogenetic Studies 2
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genetic diversity and population structure 3

Feifei Wu

28 papers receiving 302 citations

Peers

Feifei Wu
Comparison fields: 5 of 92
  • Oral Surgery 41
  • Biological Psychiatry 14
  • General Dentistry 4
  • Periodontics 11
  • Hepatology 14
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Shweta Hegde United States
Agnieszka Nowak Poland
Michiko Sato Japan
Y Hasegawa Japan
Leonardo Oliveira Trivilin Brazil
Carolina Martín Chile
Aki Yamada Japan
Songhyun Ju South Korea
Nilton Nascimento Santos-Júnior Brazil
Tânia Simões Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Feifei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201551
2 201339
3 202338
4 202323
5 202117
6 202215
7 202513
8 201812
9 202211
10 201511
11 20148
12 20248
13 20218
14 20198
15 20127
16 20216
17 20226
18 20185
19
High-background parenchymal enhancement in the contralateral breast is an imaging biomarker for favorable prognosis in patients with triple-negative breast cancer treated with chemotherapy.
20215
20 20244

About Feifei Wu

Feifei Wu is a scholar working on Molecular Biology, Genetics, Physiology, Plant Science and Cancer Research, having authored 30 papers that have together received 307 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic diversity and population structure (3 papers), Metabolism and Genetic Disorders (3 papers), Mitochondrial Function and Pathology (3 papers), Adipose Tissue and Metabolism (2 papers), Cancer-related molecular mechanisms research (2 papers), Natural product bioactivities and synthesis (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Oral Surgery (41 citations), Biological Psychiatry (14 citations), General Dentistry (4 citations), Periodontics (11 citations) and Hepatology (14 citations). Feifei Wu has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Rui Hou, Xin Wang, Yanling Yang, Yayun Wang, Jiansong You, Huaqiang Li, Liji Jin, Yongping Xu, Shuying Li and Lan Liu. Their work appears in journals such as Nature Communications, Euphytica, Drug and Chemical Toxicology, The Anatomical Record and Abdominal Radiology.

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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