Yuxin Liang
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 10%
- Cancer Research top 10%
- Genetics
- Co-authors
- Zora ModrušanMelissa R. JunttilaSören MüllerEdward J. RebarOded ForemanClaudia X. DominguezJeffrey HungRichard Bourgon
- Topics
- Cancer Immunotherapy and Biomarkers (7 papers)Hepatocellular Carcinoma Treatment and Prognosis (6 papers)CRISPR and Genetic Engineering (5 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yuxin Liang
68 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.1k
- Oncology 571
- Immunology 289
- Cancer Research 288
- Genetics 165
Countries citing papers authored by Yuxin Liang
This map shows the geographic impact of Yuxin Liang'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 Yuxin Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxin Liang more than expected).
Fields of papers citing papers by Yuxin Liang
This network shows the impact of papers produced by Yuxin Liang. 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 Yuxin Liang. The network helps show where Yuxin Liang may publish in the future.
Co-authorship network of co-authors of Yuxin Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxin Liang. A scholar is included among the top collaborators of Yuxin Liang 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 Yuxin Liang. Yuxin Liang 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 38 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 41 | |
| 16 | 36 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | Caffeic acid phenethyl ester suppressed growth and metastasis of nasopharyngeal carcinoma cells by inactivating the NF-κB pathway | 2 |
| 20 | Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapybreakdown → | 522 |
About Yuxin Liang
Yuxin Liang is a scholar working on Hepatology, Cancer Research and Aging, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Oncology (571 citations), Cancer Research (288 citations) and Molecular Biology (1.1k citations). Yuxin Liang has collaborated with scholars based in China, United States and France. Frequent co-authors include Zora Modrušan, Melissa R. Junttila, Sören Müller, Edward J. Rebar, Oded Foreman, Claudia X. Dominguez, Jeffrey Hung, Richard Bourgon, Alessandra Castiglioni and Sarah Gierke. Their work appears in journals such as Nature, 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.