Lijun Wu

8.3k citations
26 papers · 7.1k indexed · 4 hit papers · h-index 23
Topics
Immune Cell Function and Interaction (15 papers)HIV Research and Treatment (13 papers)T-cell and B-cell Immunology (13 papers)

In The Last Decade

Lijun Wu

26 papers receiving 6.9k citations

Hit Papers

The β-Chemokine Receptors CCR3 and CCR5 Facilitate Infect...1996202620062016199619961997199750010001.5k

Peers

Lijun Wu
Comparison fields: 5 of 113
  • Immunology 4.6k
  • Virology 4.6k
  • Infectious Diseases 1.7k
  • Molecular Biology 1.2k
  • Oncology 1.2k
Replace Wilfried Ellmeier with:
Wilfried Ellmeier Austria
Kirsten Nagashima United States
Paul Jolicoeur Canada
Suresh K. Arya United States
Jean‐Louis Virelizier France
Ian A. Ramshaw Australia
Bruce E. Torbett United States
Tatjana Dragic United States
Masafumi Takiguchi Japan
Françoise Bachelerie France
Lijun Wu relative to Wilfried Ellmeier Austria Wilfried Ellmeier's profile →
Citations per field
00.5×1.5×1.8×
Wilfried Ellmeier · 1×
Citations per year

Countries citing papers authored by Lijun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Wu. A scholar is included among the top collaborators of Lijun 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 Lijun Wu. Lijun 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
#WorkIndexed citations
1 29
2 7
3 19
4 94
5 62
6 272
7 145
8 59
9 35
10 23
11 123
12 155
13 29
14 70
15 102
16 166
17
The HIV coreceptors CXCR4 and CCR5 are differentially expressed and regulated on human T lymphocytesbreakdown →
946
18
The β-Chemokine Receptors CCR3 and CCR5 Facilitate Infection by Primary HIV-1 Isolatesbreakdown →
1957
19
CD4-induced interaction of primary HIV-1 gp120 glycoproteins with the chemokine receptor CCR-5breakdown →
1024
20 57

About Lijun Wu

Lijun Wu is a scholar working on Virology, Immunology and Immunology and Allergy, having authored 26 papers that have together received 7.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), HIV Research and Treatment (13 papers) and T-cell and B-cell Immunology (13 papers). The work is most often cited by research in Virology (4.6k citations), Immunology (4.6k citations) and Infectious Diseases (1.7k citations). Lijun Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Charles R. Mackay, Joseph Sodroski, Hyeryun Choe, Walter Newman, Craig Gérard, Norma P. Gerard, Nancy Sullivan, Nancy Ruffing, Conrad C. Bleul and Timothy A. Springer. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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