Hui Yan
Impact in
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
Papers in
-
- Metabolomics and Mass Spectrometry Studies 16
- Spectroscopy 14
- Mass Spectrometry Techniques and Applications 10
- Advanced Proteomics Techniques and Applications 7
- Co-authors
- Ping Xiang (42 shared papers)Min Shen (19 shared papers)Bruce A. Macher (2 shared papers)Ten‐Yang Yen (2 shared papers)Baohua Shen (15 shared papers)Zhiguo Yu (4 shared papers)Yunli Zhao (3 shared papers)Lin Zhu (2 shared papers)
- Journals
- Journal of Analytical Toxicology (4 papers)Drug Testing and Analysis (4 papers)Forensic Science International (3 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Rapid Communications in Mass Spectrometry (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hui Yan
67 papers receiving 732 citations
Peers
Comparison fields: 5 of 104
- Toxicology 136
- Spectroscopy 162
- Emergency Medicine 68
- Pharmacology 54
- Molecular Medicine 26
Countries citing papers authored by Hui Yan
This map shows the geographic impact of Hui Yan'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 Hui Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Yan more than expected).
Fields of papers citing papers by Hui Yan
This network shows the impact of papers produced by Hui Yan. 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 Hui Yan. The network helps show where Hui Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 63 | |
| 2 | 2000 | 54 | |
| 3 | 2018 | 50 | |
| 4 | 2009 | 47 | |
| 5 | 2013 | 37 | |
| 6 | 2012 | 32 | |
| 7 | 2010 | 26 | |
| 8 | 2009 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 20 | |
| 12 | 2014 | 20 | |
| 13 | 2009 | 19 | |
| 14 | 2013 | 17 | |
| 15 | 2016 | 17 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2021 | 12 |
About Hui Yan
Hui Yan is a scholar working on Molecular Biology, Spectroscopy, Toxicology, Pharmacology and Emergency Medicine, having authored 72 papers that have together received 755 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (16 papers), Forensic Toxicology and Drug Analysis (13 papers), Mass Spectrometry Techniques and Applications (10 papers), Advanced Proteomics Techniques and Applications (7 papers), Alcohol Consumption and Health Effects (6 papers), Poisoning and overdose treatments (6 papers), Animal Ecology and Behavior Studies (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Toxicology (136 citations), Spectroscopy (162 citations), Emergency Medicine (68 citations), Pharmacology (54 citations) and Molecular Medicine (26 citations). Hui Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ping Xiang, Min Shen, Bruce A. Macher, Ten‐Yang Yen, Baohua Shen, Zhiguo Yu, Yunli Zhao, Lin Zhu, Yan Shi and Xue Wu. Their work appears in journals such as Journal of Analytical Toxicology, Drug Testing and Analysis, Forensic Science International, Journal of Pharmaceutical and Biomedical Analysis and Rapid Communications in Mass Spectrometry.
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.