Wenxiang Chen
- Physiology top 10%
- Clinical Laboratory Practices and Quality Control 12
- Diet and metabolism studies 5
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- Hormonal and reproductive studies 8
- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Clinical Biochemistry top 10%
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- Metabolomics and Mass Spectrometry Studies 18
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- Analytical Chemistry and Chromatography 8
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- Liver Disease Diagnosis and Treatment 7
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- Lipoproteins and Cardiovascular Health 6
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (18 papers)PLoS ONE (6 papers)Analytical and Bioanalytical Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wenxiang Chen
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Physiology 349
- Statistics, Probability and Uncertainty 92
- Endocrinology, Diabetes and Metabolism 158
- Clinical Biochemistry 57
- Family Practice 13
Countries citing papers authored by Wenxiang Chen
This map shows the geographic impact of Wenxiang Chen'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 Wenxiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenxiang Chen more than expected).
Fields of papers citing papers by Wenxiang Chen
This network shows the impact of papers produced by Wenxiang Chen. 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 Wenxiang Chen. The network helps show where Wenxiang Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenxiang Chen, 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 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 80 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 7 | |
| 14 | 2016 | 10 | |
| 15 | 2015 | 57 | |
| 16 | 2014 | 80 | |
| 17 | Determination of uric acid in human serum by reverse-phase high-performance liquid chromatography using ultraviolet detection | 2012 | 1 |
| 18 | 2009 | 1 | |
| 19 | 2007 | 24 | |
| 20 | Studies on the Clausena dunniana Lévl Rutaceae , A New Resource of Isoanethole | 1987 | 1 |
About Wenxiang Chen
Wenxiang Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Statistics, Probability and Uncertainty, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (18 papers), Clinical Laboratory Practices and Quality Control (12 papers), Analytical Chemistry and Chromatography (8 papers), Hormonal and reproductive studies (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Physiology (349 citations), Statistics, Probability and Uncertainty (92 citations) and Endocrinology, Diabetes and Metabolism (158 citations). Wenxiang Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Dong, Ruiyue Yang, Hongxia Li, Siming Wang, Hongna Mu, Haijian Zhao, Chuanbao Zhang, Qi Zhou, Weiyan Zhou and Xianghui Li. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), PLoS ONE, Analytical and Bioanalytical Chemistry, Journal of Chromatography B and Journal of Clinical Laboratory 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.