Beili Wu

8.8k citations
62 papers · 5.0k indexed · 2 hit papers · h-index 33

Beili Wu

59 papers receiving 4.9k citations

Hit Papers

Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibi...55220102026201520204008001.2k

Peers

Beili Wu
Comparison fields: 5 of 118
  • Physiology 471
  • Cellular and Molecular Neuroscience 1.5k
  • Virology 327
  • Molecular Biology 3.6k
  • Immunology 814
Replace Irina Kufareva with:
Irina Kufareva United States
Qiang Zhao China
Gye Won Han United States
Gustavo Fenalti United States
Jian Jin United States
Cédric Govaerts Belgium
Andrew B. Tobin United Kingdom
Maurine E. Linder United States
Linda J. Pike United States
Elaine Rands United States
Beili Wu relative to Irina Kufareva United States Irina Kufareva's profile →
Citations per field
00.5×1.5×
Irina Kufareva · 1×
Citations per year

Countries citing papers authored by Beili Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Beili Wu Line = papers co-authored together Beili Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202328
3 202331
4 202234
5 202235
6 202273
7 20222
8 202114
9 202196
10 20208
11 2020110
12 202032
13 201944
14 20182
15 201511
16 201570
17
Structure of the CCR5 Chemokine Receptor–HIV Entry Inhibitor Maraviroc Complexbreakdown →
2013552
18
Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonistsbreakdown →
20101462
19 200647
20
Comparative molecular dynamics simulations: Glutamate receptors and periplasmic binding proteins
20041

About Beili Wu

Beili Wu is a scholar working on Virology, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Animal Science and Zoology, having authored 62 papers that have together received 5.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (32 papers), Neuropeptides and Animal Physiology (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Chemokine receptors and signaling (8 papers), Mass Spectrometry Techniques and Applications (6 papers), HIV Research and Treatment (6 papers), Signaling Pathways in Disease (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Physiology (471 citations), Cellular and Molecular Neuroscience (1.5k citations), Virology (327 citations), Molecular Biology (3.6k citations) and Immunology (814 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, Peter G. Wells and Clifford D. Mol. 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.

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