Bao-An Cui

572 citations
34 papers · 495 · h-index 14

Impact in

Papers in

Bao-An Cui

33 papers receiving 489 citations

Peers

Bao-An Cui
Comparison fields: 5 of 60
  • Animal Science and Zoology 277
  • Infectious Diseases 165
  • Agronomy and Crop Science 54
  • Genetics 137
  • Epidemiology 143
Replace Basavaraj Binjawadagi with:
Basavaraj Binjawadagi United States
Yawei Ni United States
Minxun Song China
Vishwanatha R. A. P. Reddy United Kingdom
Junming Zhou China
Jinlong Cheng China
Hua Wu China
Faten A. Okda United States
Muhammad Salahuddin Shah Pakistan
Qingye Zhuang China
Bao-An Cui relative to Basavaraj Binjawadagi United States Basavaraj Binjawadagi's profile →
Citations per field
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Basavaraj Binjawadagi · 1×
Citations per year

Countries citing papers authored by Bao-An Cui

Since Specialization
Citations

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

Fields of papers citing papers by Bao-An Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao-An Cui. 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 Bao-An Cui. The network helps show where Bao-An Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Bao-An Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bao-An Cui Line = papers co-authored together Bao-An Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200741
2 201035
3 201135
4 200833
5 201233
6 201332
7 201026
8 201222
9 201021
10 200921
11 201120
12 201218
13 201518
14 201015
15 201012
16 201310
17 200810
18 20119
19 20099
20 20129

About Bao-An Cui

Bao-An Cui is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Molecular Biology and Epidemiology, having authored 34 papers that have together received 495 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (20 papers), Virus-based gene therapy research (12 papers), Viral gastroenteritis research and epidemiology (11 papers), Herpesvirus Infections and Treatments (5 papers), Animal Disease Management and Epidemiology (5 papers), Viral Infections and Immunology Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Animal Science and Zoology (277 citations), Infectious Diseases (165 citations), Agronomy and Crop Science (54 citations), Genetics (137 citations) and Epidemiology (143 citations). Bao-An Cui has collaborated with scholars based in China and South Africa. Frequent co-authors include Hong‐Ying Chen, Zhanyong Wei, Xinsheng Li, Zhenya Wang, Pei Cui, Hongying Zhang, Hongying Chen, Lan‐Lan Zheng, Shujuan Wang and Mingfan Yang. Their work appears in journals such as Veterinary Immunology and Immunopathology, Vaccine, Virus Genes, Antiviral Research and Virus Research.

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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