Xiaoyan Zhou

24 papers receiving 529 citations

Peers

Xiaoyan Zhou
Comparison fields: 5 of 97
  • Agronomy and Crop Science 320
  • Modeling and Simulation 55
  • Infectious Diseases 199
  • Epidemiology 311
  • Animal Science and Zoology 36
Replace Chaithep Poolkhet with:
Chaithep Poolkhet Thailand
Saskia C.J. Hendrickx United States
R.H.M. Bergevoet Netherlands
Richard Selby United Kingdom
Malina Osman Malaysia
Ralf Wagner Germany
Pengfei Cui China
Sophie von Dobschuetz Italy
Céline Faverjon Switzerland
Kamina K. Johnson United States
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Citations per field
00.5×3.5×
Chaithep Poolkhet · 1×
Citations per year

Countries citing papers authored by Xiaoyan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoyan Zhou, 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 Xiaoyan Zhou Line = papers co-authored together Xiaoyan Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011164
2 201196
3 201564
4 201243
5 202342
6 202422
7 201819
8 200715
9 201812
10 202411
11 201910
12 20159
13 20239
14 20227
15 20235
16 20204
17 20233
18 20233
19 20252
20 20222

About Xiaoyan Zhou

Xiaoyan Zhou is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Strategy and Management and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 546 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Animal Disease Management and Epidemiology (9 papers), Viral Infections and Vectors (7 papers), Corporate Social Responsibility Reporting (3 papers), Functional Brain Connectivity Studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Sustainable Supply Chain Management (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (320 citations), Modeling and Simulation (55 citations), Infectious Diseases (199 citations), Epidemiology (311 citations) and Animal Science and Zoology (36 citations). Xiaoyan Zhou has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Fusheng Guo, Dirk U. Pfeiffer, Vincent Martin, Marius Gilbert, Ricardo J. Soares Magalhães, Diann J. Prosser, Xiangming Xiao, Beibei Jia, Baoxu Huang and Youming Wang. Their work appears in journals such as Transboundary and Emerging Diseases, Scientific Reports, PLoS ONE, BMJ Open and International Review of Financial Analysis.

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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