Xiaodong Zai

508 citations
34 papers · 362 · h-index 11

Impact in

Papers in

Xiaodong Zai

31 papers receiving 349 citations

Peers

Xiaodong Zai
Comparison fields: 5 of 56
  • Small Animals 64
  • Infectious Diseases 112
  • Virology 16
  • Endocrinology 15
  • Immunology 55
Replace Glenn A. Soltes with:
Glenn A. Soltes Canada
Victória Alves Santos Lunardelli Brazil
Srinivas J. Kammanadiminti Canada
L.S. Kwong United Kingdom
N. E. Pfeiffer United States
Che-Man Chan Hong Kong
Imed Salhi Tunisia
Antonio J. Vallecillo Mexico
Shahzeb Khan Pakistan
Petra Selchow Switzerland
Xiaodong Zai relative to Glenn A. Soltes Canada Glenn A. Soltes's profile →
Citations per field
00.5×2×4×6.7×
Glenn A. Soltes · 1×
Citations per year

Countries citing papers authored by Xiaodong Zai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Zai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodong Zai, 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 Xiaodong Zai Line = papers co-authored together Xiaodong Zai 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 201557
2 202257
3 202125
4 201921
5 202019
6 201519
7 201718
8 202217
9 201512
10 201712
11 201611
12 201811
13 20229
14 20248
15 20217
16 20235
17 20255
18 20235
19 20245
20 20165

About Xiaodong Zai

Xiaodong Zai is a scholar working on Infectious Diseases, Small Animals, Epidemiology, Immunology and Molecular Biology, having authored 34 papers that have together received 362 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), vaccines and immunoinformatics approaches (6 papers), Bacillus and Francisella bacterial research (6 papers), Brucella: diagnosis, epidemiology, treatment (6 papers), Respiratory viral infections research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Virology and Viral Diseases (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Small Animals (64 citations), Infectious Diseases (112 citations), Virology (16 citations), Endocrinology (15 citations) and Immunology (55 citations). Xiaodong Zai has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Junjie Xu, Wei Chen, Ruihua Li, Zhiling Zhang, Yaohui Li, Qiaoling Yang, Zhiyuan Wu, Xingyu Jiang, Hongwei Chen and Fei Miao. Their work appears in journals such as Signal Transduction and Targeted Therapy, Viruses, Journal of Nanobiotechnology, Frontiers in Cellular and Infection Microbiology and Virulence.

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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