Bin Wu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Epigenetics and DNA Methylation 5
-
- Sperm and Testicular Function 11
- Endometriosis Research and Treatment 4
- Co-authors
- Shen Pan (4 shared papers)Yunhong Zhan (5 shared papers)Bitian Liu (5 shared papers)Xiaonan Chen (5 shared papers)Weidong Tian (4 shared papers)Qiang Zhang (1 shared paper)Jun Zhu (1 shared paper)Juntao Li (2 shared papers)
- Journals
- Cryobiology (4 papers)Medicine (3 papers)Molecular and Cellular Biochemistry (3 papers)Journal of Pediatric Surgery (2 papers)Pediatric Transplantation (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Wu
102 papers receiving 1.8k citations
Bin Wu's Hit Papers
Peers
Comparison fields: 5 of 116
- Reproductive Medicine 202
- Cancer Research 306
- Molecular Biology 725
- Genetics 79
- Immunology 154
Countries citing papers authored by Bin Wu
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
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.
All Works
Showing the 20 most-cited of 109 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 → | 2024 | 129 |
| 2 | 2019 | 114 | |
| 3 | 2008 | 82 | |
| 4 | 2017 | 70 | |
| 5 | 2018 | 56 | |
| 6 | 2018 | 56 | |
| 7 | 2015 | 52 | |
| 8 | 2012 | 48 | |
| 9 | 2021 | 40 | |
| 10 | 2022 | 40 | |
| 11 | 2019 | 40 | |
| 12 | 2012 | 39 | |
| 13 | 2023 | 35 | |
| 14 | 2018 | 35 | |
| 15 | 2019 | 34 | |
| 16 | 2016 | 33 | |
| 17 | 2019 | 33 | |
| 18 | 2021 | 33 | |
| 19 | 2016 | 30 | |
| 20 | 2019 | 25 |
About Bin Wu
Bin Wu is a scholar working on Molecular Biology, Reproductive Medicine, Surgery, Cancer Research and Oncology, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sperm and Testicular Function (11 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Reproductive Biology and Fertility (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Epigenetics and DNA Methylation (5 papers), Mesenchymal stem cell research (5 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in Reproductive Medicine (202 citations), Cancer Research (306 citations), Molecular Biology (725 citations), Genetics (79 citations) and Immunology (154 citations). Bin Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shen Pan, Yunhong Zhan, Bitian Liu, Xiaonan Chen, Weidong Tian, Qiang Zhang, Jun Zhu, Juntao Li, Jiangang Gao and Jingjing Liu. Their work appears in journals such as Cryobiology, Medicine, Molecular and Cellular Biochemistry, Journal of Pediatric Surgery and Pediatric Transplantation.
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.