Xin Yuan
- Virology top 1%
- Cancer Research top 2%
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer 6
- Cancer-related gene regulation 6
- Ubiquitin and proteasome pathways 5
-
- Prostate Cancer Treatment and Research 18
- Immunology top 5%
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
-
- Estrogen and related hormone effects 7
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 6
- Co-authors
- Steven P. BalkMax EssexT H LeeChangmeng CaiMichael L. LuXinyao YuZene MatsudaHongyun Wang
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Xin Yuan
67 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Virology 647
- Cancer Research 860
- Molecular Biology 2.3k
- Pulmonary and Respiratory Medicine 1.0k
- Immunology 569
Countries citing papers authored by Xin Yuan
This map shows the geographic impact of Xin 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 Xin Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Yuan more than expected).
Fields of papers citing papers by Xin Yuan
This network shows the impact of papers produced by Xin 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 Xin Yuan. The network helps show where Xin Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Notch signaling pathway in cancer: from mechanistic insights to targeted therapiesbreakdown → | 2024 | 149 |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 26 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 35 | |
| 12 | 2018 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2016 | 59 | |
| 15 | 2014 | 74 | |
| 16 | 2013 | 18 | |
| 17 | 2011 | 82 | |
| 18 | 2009 | 41 | |
| 19 | 2009 | 14 | |
| 20 | 1990 | 120 |
About Xin Yuan
Xin Yuan is a scholar working on Virology, Immunology and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 4.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (18 papers), Estrogen and related hormone effects (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Immune Cell Function and Interaction (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (6 papers), Ubiquitin and proteasome pathways (5 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Virology (647 citations), Cancer Research (860 citations) and Molecular Biology (2.3k citations). Xin Yuan has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Steven P. Balk, Max Essex, T H Lee, Changmeng Cai, Michael L. Lu, Xinyao Yu, Zene Matsuda, Hongyun Wang, T H Lee and Xin‐Xin Yu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.