Binbin Wu
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
- Anesthesiology and Pain Medicine top 10%
- Anesthesia and Sedative Agents
Papers in
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- Receptor Mechanisms and Signaling 6
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- Musculoskeletal pain and rehabilitation 6
- Co-authors
- Qingquan Lian (11 shared papers)Xiaoping Yang (1 shared paper)Jianfu Xia (1 shared paper)Zhenglu Xie (2 shared papers)Qianying Wu (2 shared papers)Xiaqing Li (2 shared papers)Xiaoxia Ye (5 shared papers)Zu‐Sheng Huang (5 shared papers)
- Journals
- PLoS ONE (3 papers)Addiction Biology (2 papers)Dyes and Pigments (2 papers)Sustainability (2 papers)Pain Research and Management (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Binbin Wu
52 papers receiving 535 citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 48
- Anesthesiology and Pain Medicine 41
- Molecular Medicine 26
- Critical Care and Intensive Care Medicine 23
- Biochemistry 35
Countries citing papers authored by Binbin Wu
This map shows the geographic impact of Binbin 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 Binbin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Wu more than expected).
Fields of papers citing papers by Binbin Wu
This network shows the impact of papers produced by Binbin 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 Binbin Wu. The network helps show where Binbin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2017 | 47 | |
| 3 | 2014 | 39 | |
| 4 | 2021 | 33 | |
| 5 | 2019 | 32 | |
| 6 | 2023 | 30 | |
| 7 | 2015 | 23 | |
| 8 | 2023 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2017 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2017 | 8 |
About Binbin Wu
Binbin Wu is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 62 papers that have together received 548 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (6 papers), Spine and Intervertebral Disc Pathology (6 papers), Musculoskeletal pain and rehabilitation (6 papers), Nanoplatforms for cancer theranostics (5 papers), Functional Brain Connectivity Studies (4 papers), Stress Responses and Cortisol (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Developmental Neuroscience (48 citations), Anesthesiology and Pain Medicine (41 citations), Molecular Medicine (26 citations), Critical Care and Intensive Care Medicine (23 citations) and Biochemistry (35 citations). Binbin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingquan Lian, Xiaoping Yang, Jianfu Xia, Zhenglu Xie, Qianying Wu, Xiaqing Li, Xiaoxia Ye, Zu‐Sheng Huang, Yun‐Yun Quan and Yihu Zheng. Their work appears in journals such as PLoS ONE, Addiction Biology, Dyes and Pigments, Sustainability and Pain Research and Management.
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.