Xiaojian Yao

4.4k total citations
95 papers, 3.6k citations indexed

About

Xiaojian Yao is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Xiaojian Yao has authored 95 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Virology, 64 papers in Infectious Diseases and 31 papers in Epidemiology. Recurrent topics in Xiaojian Yao's work include HIV Research and Treatment (65 papers), HIV/AIDS drug development and treatment (48 papers) and Immune Cell Function and Interaction (11 papers). Xiaojian Yao is often cited by papers focused on HIV Research and Treatment (65 papers), HIV/AIDS drug development and treatment (48 papers) and Immune Cell Function and Interaction (11 papers). Xiaojian Yao collaborates with scholars based in Canada, China and United States. Xiaojian Yao's co-authors include Éric A. Cohen, Zhujun Ao, Nicole Rougeau, Ramu A. Subbramanian, Mark A. Wainberg, Dominique Bergeron, J. Forget, Kallesh D. Jayappa, Andrew J. Mouland and Gary Kobinger and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Xiaojian Yao

95 papers receiving 3.5k citations

Peers

Xiaojian Yao
Comparison fields: 5 of 115
  • Virology 2.3k
  • Infectious Diseases 1.8k
  • Molecular Biology 1.4k
  • Epidemiology 752
  • Immunology 707
Chen Liang China
Tsutomu Murakami Japan
Luis Menéndez‐Arias Spain
Rob A. Gruters Netherlands
Shan Cen China
Hong Lü United States
Georgios Pollakis Netherlands
Salvatore T. Butera United States
Manos Perros United Kingdom
Christiane Moog France
Chen Liang China View profile →
Citations per field, relative to Xiaojian Yao
Xiaojian Yao · 1×
Citations per year, relative to Xiaojian Yao
Xiaojian Yao · 1×

Countries citing papers authored by Xiaojian Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojian Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojian Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojian Yao. A scholar is included among the top collaborators of Xiaojian Yao 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 Xiaojian Yao. Xiaojian Yao 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 2
2 3
3 1
4 6
5 3
6 23
7 9
8 15
9 40
10 8
11 13
12 18
13 10
14 21
15 91
16 46
17 20
18 55
19
Mutational analysis of the HIV-1 Vpu protein.
3
20
The effect of vpu on HIV-1-induced syncytia formation.
36

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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