Jing Yuan
- Molecular Biology top 5%
- Oncology top 5%
- Organic Chemistry top 5%
- Immunology top 10%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Dieter SöllMichael J. HohnJie YinHoward L. WeinerVijay K. KuchrooYijun CarrierJoseph G. AllenPaul J. Catalano
- Topics
- RNA and protein synthesis mechanisms (11 papers)RNA modifications and cancer (10 papers)Asymmetric Hydrogenation and Catalysis (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jing Yuan
113 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.7k
- Oncology 464
- Organic Chemistry 431
- Immunology 392
- Health, Toxicology and Mutagenesis 329
Countries citing papers authored by Jing Yuan
This map shows the geographic impact of Jing 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 Jing Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yuan more than expected).
Fields of papers citing papers by Jing Yuan
This network shows the impact of papers produced by Jing 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 Jing Yuan. The network helps show where Jing Yuan may publish in the future.
Co-authorship network of co-authors of Jing Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yuan. A scholar is included among the top collaborators of Jing Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Yuan. Jing Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 77 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 25 | |
| 13 | 27 | |
| 14 | 21 | |
| 15 | 51 | |
| 16 | 179 | |
| 17 | 44 | |
| 18 | Induction, expression and maintenance of cytochrome P450 isoforms in long-term cultures of primary human hepatocytes. | 8 |
| 19 | 39 | |
| 20 | 38 |
About Jing Yuan
Jing Yuan is a scholar working on Complementary and alternative medicine, Molecular Biology and Organic Chemistry, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (10 papers) and Asymmetric Hydrogenation and Catalysis (7 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Health, Toxicology and Mutagenesis (329 citations) and Immunology (392 citations). Jing Yuan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dieter Söll, Michael J. Hohn, Jie Yin, Howard L. Weiner, Vijay K. Kuchroo, Yijun Carrier, Joseph G. Allen, Paul J. Catalano, John D. Spengler and Sotiria Palioura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.