Xiaodong Zai

448 citations
30 papers · 286 · h-index 11

Impact in

Papers in

    • vaccines and immunoinformatics approaches 7
    • Bacillus and Francisella bacterial research 6
    • SARS-CoV-2 and COVID-19 Research 5
    • Viral gastroenteritis research and epidemiology 3
    • Viral Infections and Outbreaks Research 3

Xiaodong Zai

27 papers receiving 277 citations

Peers

Xiaodong Zai
Comparison fields: 5 of 55
  • Small Animals 59
  • Infectious Diseases 77
  • Endocrinology 17
  • Radiology, Nuclear Medicine and Imaging 60
  • Virology 12
Replace Glenn Soltes with:
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Xiaodong Zai relative to Glenn Soltes Canada Glenn Soltes's profile →
Citations per field
00.5×9.6×
Glenn 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 202244
3 202122
4 201919
5 201519
6 201717
7 202014
8 201713
9 201811
10 201510
11 201610
12 20247
13 20226
14 20184
15 20234
16 20234
17 20243
18 20233
19 20223
20 20163

About Xiaodong Zai

Xiaodong Zai is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Small Animals, having authored 30 papers that have together received 286 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), Bacillus and Francisella bacterial research (6 papers), Brucella: diagnosis, epidemiology, treatment (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immunotherapy and Immune Responses (4 papers), Bacteriophages and microbial interactions (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Viral Infections and Outbreaks Research (3 papers). The work is most often cited by research in Small Animals (59 citations), Infectious Diseases (77 citations), Endocrinology (17 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Virology (12 citations). Xiaodong Zai has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Junjie Xu, Wei Chen, Ruihua Li, Yaohui Li, Zhiling Zhang, Zhiyuan Wu, Xingyu Jiang, Qiaoling Yang, Qihua Yin and Hongwei Chen. Their work appears in journals such as Virulence, npj Vaccines, Journal of Nanobiotechnology, Frontiers in Cellular and Infection Microbiology and Viruses.

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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