Bin Wu

2.7k citations
110 papers · 2.0k · 1 hit paper · h-index 25

Impact in

Papers in

    • Sperm and Testicular Function 11
    • Endometriosis Research and Treatment 4
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 7

Bin Wu

106 papers receiving 2.0k citations

Bin Wu's Hit Papers

A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settings 2024 · 143 citations
1430+1Years since publication4080120

Peers

Bin Wu
Comparison fields: 5 of 123
  • Reproductive Medicine 213
  • Cancer Research 323
  • Molecular Biology 776
  • Genetics 82
  • Immunology 161
Replace Xiaoxue Li with:
Xiaoxue Li China
Li Fu China
Luciana Bordin Italy
Juan Carlos Calvo Argentina
Tomoji Maeda Japan
Jun Lü China
Wenhui Zhang China
Bin Wu relative to Xiaoxue Li China Xiaoxue Li's profile →
Citations per field
00.5×2×3×4.1×
Xiaoxue Li · 1×
Citations per year

Countries citing papers authored by Bin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A GIPR antagonist conjugated to GLP-1 analogues promotes weight loss with improved metabolic parameters in preclinical and phase 1 settings
Hit paper breakdown →
2024143
2 2019116
3 200887
4 201772
5 201857
6 202356
7 201856
8 202354
9 201553
10 201251
11 202245
12 201940
13 202139
14 201239
15 202137
16 202336
17 201935
18 201835
19 201633
20 201933

About Bin Wu

Bin Wu is a scholar working on Reproductive Medicine, Cancer Research, Molecular Biology, Surgery and Immunology, having authored 110 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sperm and Testicular Function (11 papers), Cancer-related molecular mechanisms research (8 papers), Reproductive Biology and Fertility (7 papers), MicroRNA in disease regulation (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Mesenchymal stem cell research (5 papers), Reproductive System and Pregnancy (4 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in Reproductive Medicine (213 citations), Cancer Research (323 citations), Molecular Biology (776 citations), Genetics (82 citations) and Immunology (161 citations). Bin Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shen Pan, Xiaonan Chen, Bitian Liu, Yunhong Zhan, Weidong Tian, Qiang Zhang, Jun Zhu, Juntao Li, Jiangang Gao and Jingjing Liu. Their work appears in journals such as Cryobiology, Medicine, Annals of Oncology, Frontiers in Cell and Developmental Biology and Biochemical and Biophysical Research Communications.

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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