Yan Qi
Impact in
Papers in
-
- Fractal and DNA sequence analysis 3
- Fungal and yeast genetics research 2
- RNA and protein synthesis mechanisms 2
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- Tea Polyphenols and Effects 5
- Co-authors
- Michael J. Hickerson (1 shared paper)Naoki Takebayashi (1 shared paper)Wen Huang (1 shared paper)Joel S. Bader (3 shared papers)Jef D. Boeke (2 shared papers)Yu-Yi Lin (2 shared papers)Zi Yang (5 shared papers)Guan‐Hu Bao (5 shared papers)
- Journals
- Food Chemistry (2 papers)BMC Bioinformatics (2 papers)BioMed Research International (1 paper)Mathematical Biosciences & Engineering (1 paper)Food Bioscience (1 paper)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Yan Qi
26 papers receiving 777 citations
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 20
- Aging 15
- Biochemistry 46
- Molecular Biology 392
- Ecological Modeling 23
Countries citing papers authored by Yan Qi
This map shows the geographic impact of Yan Qi'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 Yan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Qi more than expected).
Fields of papers citing papers by Yan Qi
This network shows the impact of papers produced by Yan Qi. 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 Yan Qi. The network helps show where Yan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Qi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 319 | |
| 2 | 2008 | 121 | |
| 3 | 2008 | 69 | |
| 4 | 2022 | 45 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 31 | |
| 7 | 2005 | 29 | |
| 8 | 2019 | 24 | |
| 9 | 2023 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2005 | 12 | |
| 13 | 2005 | 11 | |
| 14 | 2024 | 9 | |
| 15 | 2005 | 8 | |
| 16 | 2004 | 7 | |
| 17 | 2011 | 3 | |
| 18 | 1998 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2024 | 2 |
About Yan Qi
Yan Qi is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Biological Psychiatry, Immunology and Mechanical Engineering, having authored 28 papers that have together received 785 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (5 papers), Fractal and DNA sequence analysis (3 papers), Tryptophan and brain disorders (3 papers), Phytochemicals and Antioxidant Activities (2 papers), T-cell and B-cell Immunology (2 papers), Fungal and yeast genetics research (2 papers), Power Systems and Renewable Energy (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (20 citations), Aging (15 citations), Biochemistry (46 citations), Molecular Biology (392 citations) and Ecological Modeling (23 citations). Yan Qi has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Michael J. Hickerson, Naoki Takebayashi, Wen Huang, Joel S. Bader, Jef D. Boeke, Yu-Yi Lin, Zi Yang, Guan‐Hu Bao, Daniel Yuan and Xuewen Pan. Their work appears in journals such as Food Chemistry, BMC Bioinformatics, BioMed Research International, Mathematical Biosciences & Engineering and Food Bioscience.
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.