Beibei Wu

1.7k citations
48 papers · 1.4k · h-index 22

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

48 papers receiving 1.4k citations

Peers

Beibei Wu
Comparison fields: 5 of 127
  • Clinical Biochemistry 62
  • Molecular Biology 633
  • Molecular Medicine 41
  • Neurology 63
  • Cell Biology 113
Replace Yung‐Feng Lin with:
Yung‐Feng Lin Taiwan
Lei Cao China
Li Feng China
Zhenguo Liu United States
Yu Zhuang China
Xiaokun Li China
Rebeca López‐Marure Mexico
Hongxue Shi United States
Rui Fernandes Portugal
Beibei Wu relative to Yung‐Feng Lin Taiwan Yung‐Feng Lin's profile →
Citations per field
00.5×2.9×
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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007312
2 2007107
3 201488
4 201660
5 200958
6 202256
7 201654
8 201047
9 201445
10 201542
11 201442
12 202233
13 202233
14 201529
15 202327
16 201926
17 201326
18 201725
19 202125
20 201924

About Beibei Wu

Beibei Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology, Clinical Biochemistry and Physiology, having authored 48 papers that have together received 1.4k 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), Diet, Metabolism, and Disease (4 papers), Immune Response and Inflammation (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Landfill Environmental Impact Studies (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Clinical Biochemistry (62 citations), Molecular Biology (633 citations), Molecular Medicine (41 citations), Neurology (63 citations) and Cell Biology (113 citations). Beibei Wu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Steve P. Crampton, Christopher C.W. Hughes, Marian L. Waterman, Rongqiao He, Chanshuai Han, Beidou Xi, Xiaojie Sun, Xiaoou Shan, Tingting Xu and Nate P. Hoverter. Their work appears in journals such as Oncotarget, Drug Design Development and Therapy, Journal of Cellular and Molecular Medicine, Journal of Controlled Release and Life Science Alliance.

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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