Xueling Wu

10.4k total citations · 1 hit paper
67 papers, 4.1k citations indexed

About

Xueling Wu is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, Xueling Wu has authored 67 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Virology, 35 papers in Immunology and 26 papers in Infectious Diseases. Recurrent topics in Xueling Wu's work include HIV Research and Treatment (44 papers), Immune Cell Function and Interaction (28 papers) and HIV/AIDS drug development and treatment (20 papers). Xueling Wu is often cited by papers focused on HIV Research and Treatment (44 papers), Immune Cell Function and Interaction (28 papers) and HIV/AIDS drug development and treatment (20 papers). Xueling Wu collaborates with scholars based in United States, China and United Kingdom. Xueling Wu's co-authors include John R. Mascola, Peter D. Kwong, Tongqing Zhou, Richard T. Wyatt, Yongping Yang, Jiang Zhu, Yuxing Li, Joseph Sodroski, Young Do Kwon and Julie Overbaugh and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xueling Wu

65 papers receiving 4.0k citations

Hit Papers

Structural Basis for Broad and Potent Neutralization of H... 2010 2026 2015 2020 2010 250 500 750

Peers

Xueling Wu
Comparison fields: 5 of 113
  • Virology 3.0k
  • Immunology 1.9k
  • Infectious Diseases 1.3k
  • Molecular Biology 1.1k
  • Radiology, Nuclear Medicine and Imaging 945
Replace Gerald Nakamura with:
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Franz Steindl Austria
Victoria R. Polonis United States
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Gerald Nakamura United States View profile →
Citations per field, relative to Xueling Wu
Xueling Wu · 1×
Citations per year, relative to Xueling Wu
Xueling Wu · 1×

Countries citing papers authored by Xueling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xueling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xueling Wu. A scholar is included among the top collaborators of Xueling Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xueling Wu. Xueling Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 4
4 1
5 6
6 17
7 8
8 150
9 48
10 197
11
Structural Basis for Broad and Potent Neutralization of HIV-1 by Antibody VRC01 breakdown →
821
12 27
13 19
14 36
15 19
16 77
17 31
18 9
19 2
20 13

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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