Xiaochun Wan
- Biochemistry top 0.05%
- Phytochemicals and Antioxidant Activities 63
- Pathology and Forensic Medicine top 0.05%
- Tea Polyphenols and Effects 162
- Phytoestrogen effects and research 19
- Food Science top 0.1%
- Food Quality and Safety Studies 47
- Fermentation and Sensory Analysis 32
- Biological Psychiatry top 1%
- Analytical Chemistry top 0.2%
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- Fluoride Effects and Removal 20
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- Plant Gene Expression Analysis 18
- Metabolomics and Mass Spectrometry Studies 16
Xiaochun Wan
232 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Biochemistry 2.6k
- Pathology and Forensic Medicine 5.0k
- Food Science 3.1k
- Biological Psychiatry 374
- Analytical Chemistry 856
Countries citing papers authored by Xiaochun Wan
This map shows the geographic impact of Xiaochun Wan'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 Xiaochun Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochun Wan more than expected).
Fields of papers citing papers by Xiaochun Wan
This network shows the impact of papers produced by Xiaochun Wan. 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 Xiaochun Wan. The network helps show where Xiaochun Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaochun Wan, 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 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 35 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 27 | |
| 13 | 2021 | 55 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 55 | |
| 16 | 2019 | 38 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 29 | |
| 19 | 2015 | 7 | |
| 20 | Evaluation of sensory and composition properties in young tea shoots and their estimation by near infrared spectroscopy and partial least squares techniques | 2011 | 4 |
About Xiaochun Wan
Xiaochun Wan is a scholar working on Biochemistry, Pathology and Forensic Medicine, Biological Psychiatry, Food Science and Applied Microbiology and Biotechnology, having authored 239 papers that have together received 9.7k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (162 papers), Phytochemicals and Antioxidant Activities (63 papers), Food Quality and Safety Studies (47 papers), Fermentation and Sensory Analysis (32 papers), Fluoride Effects and Removal (20 papers), Phytoestrogen effects and research (19 papers), Plant Gene Expression Analysis (18 papers) and Metabolomics and Mass Spectrometry Studies (16 papers). The work is most often cited by research in Biochemistry (2.6k citations), Pathology and Forensic Medicine (5.0k citations), Food Science (3.1k citations), Biological Psychiatry (374 citations) and Analytical Chemistry (856 citations). Xiaochun Wan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chi‐Tang Ho, Zhengzhu Zhang, Liang Zhang, Daxiang Li, Xiangyang Guo, Tie-Jun Ling, Guan‐Hu Bao, Yijun Wang, Wilfried Schwab and Chuankui Song. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Food Research International, Horticulture Research and Journal of the Science of Food and Agriculture.
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.