Qing Yuan
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Mitochondrial Function and Pathology 9
- RNA modifications and cancer 8
- Polyamine Metabolism and Applications 4
- Molecular Biology Techniques and Applications 2
- Genomics and Phylogenetic Studies 2
-
- Cancer Genomics and Diagnostics 5
- Co-authors
- Ramesh M. Ray (4 shared papers)Leonard R. Johnson (3 shared papers)Mary Jane Viar (3 shared papers)L. R. Johnson (1 shared paper)Ying Ou (4 shared papers)Weijia Liao (3 shared papers)Jinliang Xing (10 shared papers)Shanshan Guo (7 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (2 papers)American Journal of Physiology-Cell Physiology (2 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Cancer Letters (1 paper)Clinical Epigenetics (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Qing Yuan
30 papers receiving 595 citations
Peers
Comparison fields: 5 of 82
- Biochemistry 75
- Cancer Research 89
- Molecular Biology 409
- Pharmacology 54
- Immunology 56
Countries citing papers authored by Qing Yuan
This map shows the geographic impact of Qing Yuan'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 Qing Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Yuan more than expected).
Fields of papers citing papers by Qing Yuan
This network shows the impact of papers produced by Qing Yuan. 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 Qing Yuan. The network helps show where Qing Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Yuan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 74 | |
| 2 | 2000 | 62 | |
| 3 | 2002 | 53 | |
| 4 | 2001 | 46 | |
| 5 | 2014 | 41 | |
| 6 | 2015 | 40 | |
| 7 | 2020 | 37 | |
| 8 | 2014 | 36 | |
| 9 | 2009 | 25 | |
| 10 | 2022 | 23 | |
| 11 | 2000 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2015 | 15 | |
| 15 | 2020 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 6 |
About Qing Yuan
Qing Yuan is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Control and Systems Engineering and Oncology, having authored 32 papers that have together received 601 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), RNA modifications and cancer (8 papers), Cancer Genomics and Diagnostics (5 papers), Polyamine Metabolism and Applications (4 papers), Amino Acid Enzymes and Metabolism (2 papers), Cannabis and Cannabinoid Research (2 papers), Molecular Biology Techniques and Applications (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Biochemistry (75 citations), Cancer Research (89 citations), Molecular Biology (409 citations), Pharmacology (54 citations) and Immunology (56 citations). Qing Yuan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ramesh M. Ray, Leonard R. Johnson, Mary Jane Viar, L. R. Johnson, Ying Ou, Weijia Liao, Jinliang Xing, Shanshan Guo, Xiwen Gu and Kaixiang Zhou. Their work appears in journals such as Molecular Therapy — Nucleic Acids, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Cancer Letters and Clinical Epigenetics.
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.