Xiaonan Zhao
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 14
- Endocrinology top 2%
- Vibrio bacteria research studies 6
- Escherichia coli research studies 5
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 9
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts 6
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- Influenza Virus Research Studies 7
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- Bacterial biofilms and quorum sensing 6
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- Viral gastroenteritis research and epidemiology 5
- Co-authors
- Thrasyvoulos N. PappasShuhong SunJie YangBrian K. HammerJ. Patrick BardillDavid L. NeuhoffLili WangWei-Shan Chang
- Journals
- PLoS ONE (1 paper)Biochemical Journal (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaonan Zhao
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Molecular Medicine 273
- Endocrinology 205
- Food Science 288
- Pollution 127
- Computer Vision and Pattern Recognition 198
Countries citing papers authored by Xiaonan Zhao
This map shows the geographic impact of Xiaonan Zhao'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 Xiaonan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaonan Zhao more than expected).
Fields of papers citing papers by Xiaonan Zhao
This network shows the impact of papers produced by Xiaonan Zhao. 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 Xiaonan Zhao. The network helps show where Xiaonan Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaonan Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 10 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2018 | 29 | |
| 18 | 2017 | 25 | |
| 19 | 2016 | 48 | |
| 20 | 2012 | 24 |
About Xiaonan Zhao
Xiaonan Zhao is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Salmonella and Campylobacter epidemiology (9 papers), Influenza Virus Research Studies (7 papers), Bacterial biofilms and quorum sensing (6 papers), Vibrio bacteria research studies (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Escherichia coli research studies (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (273 citations), Endocrinology (205 citations) and Food Science (288 citations). Xiaonan Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Thrasyvoulos N. Pappas, Shuhong Sun, Jie Yang, Brian K. Hammer, J. Patrick Bardill, David L. Neuhoff, Lili Wang, Wei-Shan Chang, Yuqing Liu and Ming Hu. Their work appears in journals such as PLoS ONE, Biochemical Journal and IEEE Transactions on Image Processing.
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.