Beibei Wu

1.7k citations
47 papers · 1.3k indexed · h-index 21

Impact in

    • Advanced Glycation End Products research
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • Muscle Physiology and Disorders

Papers in

Beibei Wu

46 papers receiving 1.3k citations

Peers

Beibei Wu
Comparison fields: 5 of 132
  • Clinical Biochemistry 66
  • Molecular Biology 666
  • Molecular Medicine 41
  • Cell Biology 118
  • Neurology 59
Replace Yung‐Feng Lin with:
Yung‐Feng Lin Taiwan
Li Feng China
Rongrong Wang China
Nana Yang China
Noriaki Nagai Japan
Zhenguo Liu United States
Rebeca López‐Marure Mexico
Tullia Maraldi Italy
Xiaokun Li China
Beibei Wu relative to Yung‐Feng Lin Taiwan Yung‐Feng Lin's profile →
Citations per field
00.5×1.5×2.0×
Yung‐Feng Lin · 1×
Citations per year

Countries citing papers authored by Beibei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007307
2 2007103
3 201481
4 200957
5 201657
6 202253
7 201651
8 201047
9 201444
10 201541
11 201441
12 202232
13 202230
14 201527
15 201325
16 201925
17 202325
18 201924
19 201723
20 202123

About Beibei Wu

Beibei Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Immunology and Epidemiology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), RNA Research and Splicing (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Landfill Environmental Impact Studies (4 papers), Immune Response and Inflammation (4 papers), Cancer-related gene regulation (4 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Clinical Biochemistry (66 citations), Molecular Biology (666 citations), Molecular Medicine (41 citations), Cell Biology (118 citations) and Neurology (59 citations). Beibei Wu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Christopher C.W. Hughes, Steve P. Crampton, Marian L. Waterman, Wei Yan, Xiaojie Sun, Beidou Xi, Chanshuai Han, Rongqiao He, Xiaoou Shan and Nate P. Hoverter. Their work appears in journals such as Oncotarget, Journal of Controlled Release, Drug Design Development and Therapy, Journal of Cellular and Molecular Medicine and Scientific Reports.

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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