Chaoliang Leng

1.9k total citations
53 papers, 1.4k citations indexed

About

Chaoliang Leng is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Chaoliang Leng has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Animal Science and Zoology, 31 papers in Infectious Diseases and 20 papers in Genetics. Recurrent topics in Chaoliang Leng's work include Animal Virus Infections Studies (35 papers), Viral gastroenteritis research and epidemiology (28 papers) and Virus-based gene therapy research (20 papers). Chaoliang Leng is often cited by papers focused on Animal Virus Infections Studies (35 papers), Viral gastroenteritis research and epidemiology (28 papers) and Virus-based gene therapy research (20 papers). Chaoliang Leng collaborates with scholars based in China, Portugal and Singapore. Chaoliang Leng's co-authors include Zhi‐Jun Tian, Tongqing An, Jinmei Peng, Xuehui Cai, Guangzhi Tong, Jiazeng Chen, Yan‐Dong Tang, Hongyuan Zhao, Lirun Xiang and Weiping Zhang and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Chaoliang Leng

53 papers receiving 1.4k citations

Peers

Chaoliang Leng
Comparison fields: 5 of 103
  • Animal Science and Zoology 775
  • Infectious Diseases 668
  • Genetics 451
  • Epidemiology 276
  • Cardiology and Cardiovascular Medicine 240
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Jui‐Hung Shien Taiwan View profile →
Citations per field, relative to Chaoliang Leng
Chaoliang Leng · 1×
Citations per year, relative to Chaoliang Leng
Chaoliang Leng · 1×

Countries citing papers authored by Chaoliang Leng

Since Specialization
Citations

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

Fields of papers citing papers by Chaoliang Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoliang Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoliang Leng. A scholar is included among the top collaborators of Chaoliang Leng 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 Chaoliang Leng. Chaoliang Leng 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 1
3 1
4 4
5 4
6 13
7 3
8 4
9 15
10 9
11 7
12 13
13 7
14
Hypermutations in porcine respiratory and reproductive syndrome virus.
2
15 15
16 2
17 25
18
Complete genomic characterization of three European genotype porcine reproductive and respiratory syndrome viruses from China in 2016.
2
19 84
20 18

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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