Yanxiang Zhao
- Molecular Biology top 2%
- Oncology top 1%
- Immunology top 2%
- Epidemiology top 5%
- Cancer Research top 5%
- Co-authors
- James DarnellChris AlbaneseJacqueline BrombergRichard G. PestellGeeta DevganJohn KuriyanDavid JeruzalmiUwe Vinkemeier
- Topics
- Autophagy in Disease and Therapy (15 papers)Antibiotic Resistance in Bacteria (7 papers)Antibiotics Pharmacokinetics and Efficacy (6 papers)
- Cited by
- OncologyImmunologyMolecular Biology
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Yanxiang Zhao
53 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 3.0k
- Oncology 2.3k
- Immunology 1.1k
- Epidemiology 801
- Cancer Research 617
Countries citing papers authored by Yanxiang Zhao
This map shows the geographic impact of Yanxiang Zhao'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 Yanxiang Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanxiang Zhao more than expected).
Fields of papers citing papers by Yanxiang Zhao
This network shows the impact of papers produced by Yanxiang Zhao. 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 Yanxiang Zhao. The network helps show where Yanxiang Zhao may publish in the future.
Co-authorship network of co-authors of Yanxiang Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Yanxiang Zhao. A scholar is included among the top collaborators of Yanxiang Zhao 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 Yanxiang Zhao. Yanxiang Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 34 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 248 | |
| 12 | 33 | |
| 13 | 3 | |
| 14 | 140 | |
| 15 | 70 | |
| 16 | 54 | |
| 17 | 206 | |
| 18 | 82 | |
| 19 | 5 | |
| 20 | Crystal Structure of a Tyrosine Phosphorylated STAT-1 Dimer Bound to DNAbreakdown → | 571 |
About Yanxiang Zhao
Yanxiang Zhao is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Cell Biology, having authored 53 papers that have together received 5.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (15 papers), Antibiotic Resistance in Bacteria (7 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). The work is most often cited by research in Oncology (2.3k citations), Immunology (1.1k citations) and Molecular Biology (3.0k citations). Yanxiang Zhao has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include James Darnell, Chris Albanese, Jacqueline Bromberg, Richard G. Pestell, Geeta Devgan, John Kuriyan, David Jeruzalmi, Uwe Vinkemeier, Xiaohong Chen and Zhenyu Yue. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.