Beili Wu
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 33
- Signaling Pathways in Disease 6
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- Neuropeptides and Animal Physiology 18
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Raymond C. Stevens (10 shared papers)Qiang Zhao (27 shared papers)Vadim Cherezov (6 shared papers)Vsevolod Katritch (4 shared papers)Gustavo Fenalti (4 shared papers)Ruben Abagyan (3 shared papers)Tracy M. Handel (3 shared papers)Damon J. Hamel (2 shared papers)
- Journals
- Nature Communications (7 papers)Nature (5 papers)Science (4 papers)Proceedings of the National Academy of Sciences (3 papers)Science Advances (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Beili Wu
61 papers receiving 5.1k citations
Beili Wu's Hit Papers
Peers
Comparison fields: 5 of 116
- Physiology 479
- Cellular and Molecular Neuroscience 1.5k
- Virology 320
- Molecular Biology 3.6k
- Immunology 774
Countries citing papers authored by Beili Wu
This map shows the geographic impact of Beili 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 Beili Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beili Wu more than expected).
Fields of papers citing papers by Beili Wu
This network shows the impact of papers produced by Beili 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 Beili Wu. The network helps show where Beili Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Beili 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonists Hit paper breakdown → | 2010 | 1470 |
| 2 | Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complex Hit paper breakdown → | 2013 | 558 |
| 3 | 2015 | 290 | |
| 4 | 2014 | 269 | |
| 5 | 2016 | 200 | |
| 6 | 2020 | 185 | |
| 7 | 2017 | 140 | |
| 8 | 2004 | 135 | |
| 9 | 2020 | 116 | |
| 10 | 2017 | 108 | |
| 11 | 2021 | 103 | |
| 12 | 2016 | 95 | |
| 13 | 2015 | 93 | |
| 14 | 2015 | 87 | |
| 15 | 2022 | 76 | |
| 16 | 2021 | 76 | |
| 17 | 2020 | 76 | |
| 18 | 2021 | 72 | |
| 19 | 2015 | 70 | |
| 20 | 2017 | 55 |
About Beili Wu
Beili Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 64 papers that have together received 5.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Neuropeptides and Animal Physiology (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Chemokine receptors and signaling (8 papers), Signaling Pathways in Disease (6 papers), Mass Spectrometry Techniques and Applications (6 papers), HIV Research and Treatment (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Physiology (479 citations), Cellular and Molecular Neuroscience (1.5k citations), Virology (320 citations), Molecular Biology (3.6k citations) and Immunology (774 citations). Beili Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Raymond C. Stevens, Qiang Zhao, Vadim Cherezov, Vsevolod Katritch, Gustavo Fenalti, Ruben Abagyan, Tracy M. Handel, Damon J. Hamel, Wei Liu and Ellen Y. T. Chien. Their work appears in journals such as Nature Communications, Nature, Science, Proceedings of the National Academy of Sciences and Science Advances.
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.