Feifei Wu

441 citations
29 papers · 286 · h-index 10

Impact in

Papers in

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

Feifei Wu

27 papers receiving 282 citations

Peers

Feifei Wu
Comparison fields: 5 of 95
  • Biological Psychiatry 17
  • Oral Surgery 41
  • Periodontics 21
  • General Dentistry 5
  • Pharmacology 16
Replace Shweta Hegde with:
Shweta Hegde United States
Agnieszka Nowak Poland
Leonardo Oliveira Trivilin Brazil
Michiko Sato Japan
Yuwen Wang China
Carolina Martín Chile
Brian Schmidt United States
Nilton Nascimento Santos-Júnior Brazil
Soemini Kasanmoentalib Netherlands
Feifei Wu relative to Shweta Hegde United States Shweta Hegde's profile →
Citations per field
00.5×10×13.7×
Shweta Hegde · 1×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 201339
3 202331
4 202323
5 202115
6 202214
7 201811
8 201511
9 202211
10 20259
11 20248
12 20148
13 20218
14 20127
15 20197
16 20216
17 20226
18
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
19 20185
20 20243

About Feifei Wu

Feifei Wu is a scholar working on Molecular Biology, Genetics, Physiology, Cancer Research and Epidemiology, having authored 29 papers that have together received 286 indexed citations. Recurring topics across this work include Genetic diversity and population structure (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cancer, Lipids, and Metabolism (2 papers), Genomics and Phylogenetic Studies (2 papers), Natural product bioactivities and synthesis (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Biological Psychiatry (17 citations), Oral Surgery (41 citations), Periodontics (21 citations), General Dentistry (5 citations) and Pharmacology (16 citations). Feifei Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peng Xue, Xin Wang, Rui Hou, Jiansong You, Yayun Wang, Liji Jin, Yongping Xu, Yanling Yang, Huaqiang Li and Xiaoyu Li. Their work appears in journals such as Nature Communications, Euphytica, Scientific Reports, Phytotherapy Research 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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