Xueya Liang

2.4k citations
37 papers · 1.7k indexed · h-index 19
Topics
Viral gastroenteritis research and epidemiology (8 papers)Virology and Viral Diseases (7 papers)Animal Virus Infections Studies (7 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Xueya Liang

34 papers receiving 1.7k citations

Peers

Xueya Liang
Comparison fields: 5 of 126
  • Infectious Diseases 611
  • Molecular Biology 491
  • Animal Science and Zoology 466
  • Immunology 286
  • Epidemiology 282
Replace Shannon M. Wallet with:
Shannon M. Wallet United States
Lei Xu China
Nilo Ikuta Brazil
Stine Jacobsen Denmark
Tomoyuki Tanaka Japan
Qi Su China
Yonglu Wang China
Kozo Takase Japan
Takeshi Mikami Japan
A.C. Vasconcelos Brazil
Xueya Liang relative to Shannon M. Wallet United States Shannon M. Wallet's profile →
Citations per field
00.5×1.5×
Shannon M. Wallet · 1×
Citations per year

Countries citing papers authored by Xueya Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xueya Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueya Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xueya Liang. A scholar is included among the top collaborators of Xueya Liang 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 Xueya Liang. Xueya Liang 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 0
2 1
3 50
4 32
5 4
6 10
7 206
8 77
9 13
10 10
11 8
12 60
13 4
14 40
15 196
16 14
17
Disease distribution and medical resources during the Beijing 2008 Olympic and Paralympic Games.
11
18 200
19 39
20 40

About Xueya Liang

Xueya Liang is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Virology and Viral Diseases (7 papers) and Animal Virus Infections Studies (7 papers). The work is most often cited by research in Animal Science and Zoology (466 citations), Infectious Diseases (611 citations) and Immunology (286 citations). Xueya Liang has collaborated with scholars based in United States, China and France. Frequent co-authors include Jiànróng Lǐ, Yuanmei Ma, Mijia Lu, Shaoxing Qu, Michael Oglesbee, Steven Krakowka, Jean‐Marc Cavaillon, H. Shaw Warren, Yu Zhang and Fangfei Lou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

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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