Hongxia Shao

1.8k total citations
89 papers, 1.3k citations indexed

About

Hongxia Shao is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Hongxia Shao has authored 89 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Epidemiology, 27 papers in Molecular Biology and 24 papers in Genetics. Recurrent topics in Hongxia Shao's work include Influenza Virus Research Studies (25 papers), Virus-based gene therapy research (24 papers) and Herpesvirus Infections and Treatments (18 papers). Hongxia Shao is often cited by papers focused on Influenza Virus Research Studies (25 papers), Virus-based gene therapy research (24 papers) and Herpesvirus Infections and Treatments (18 papers). Hongxia Shao collaborates with scholars based in China, United States and United Kingdom. Hongxia Shao's co-authors include Aijian Qin, Jianqiang Ye, Daniel R. Pérez, Kun Qian, Erin M. Sorrell, Matthew Angel, J. Brian Kimble, Philip Martin, Hongjun Chen and Gongjun Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Hongxia Shao

86 papers receiving 1.3k citations

Peers

Hongxia Shao
Comparison fields: 5 of 104
  • Epidemiology 697
  • Molecular Biology 363
  • Infectious Diseases 357
  • Immunology 275
  • Agronomy and Crop Science 249
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Wenjun Song China View profile →
Citations per field, relative to Hongxia Shao
Hongxia Shao · 1×
Citations per year, relative to Hongxia Shao
Hongxia Shao · 1×

Countries citing papers authored by Hongxia Shao

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxia Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongxia Shao. A scholar is included among the top collaborators of Hongxia Shao 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 Hongxia Shao. Hongxia Shao 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 0
2 0
3 1
4 1
5 1
6 6
7 4
8 14
9 4
10 3
11 6
12 3
13 5
14 11
15 8
16 8
17 1
18
Establishment of simple method for purification of T and B lymphocytes of chicken
1
19
Construction of VP2 eukaryotic expression vector of infectious bursal disease virus and its application
1
20
Development of Chicken Embryo Fibroblast Cell Line Resistant to J Subgroup Avian Leukosis Virus(ALV-J) Infection
4

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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