Xiaohua Yan
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Biochemistry top 2%
- Biochemical Acid Research Studies
Papers in
-
- TGF-β signaling in diseases 20
- Ubiquitin and proteasome pathways 9
- Cancer-related gene regulation 8
- Kruppel-like factors research 7
- Connective Tissue Growth Factor Research 5
- Epidemiology 11
- Co-authors
- Ye‐Guang Chen (16 shared papers)Ziying Liu (1 shared paper)Thomas E. Roche (6 shared papers)Shane A. Kasten (5 shared papers)Xiangyang Xiong (7 shared papers)Jason C. Baker (3 shared papers)Yasuaki Hiromasa (4 shared papers)Xiaoming Gong (3 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Journal of Cellular and Molecular Medicine (4 papers)Journal of Molecular Cell Biology (4 papers)Nature Communications (3 papers)Biochemistry (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaohua Yan
76 papers receiving 3.3k citations
Xiaohua Yan's Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 588
- Biochemistry 279
- Molecular Biology 2.1k
- Reproductive Medicine 203
- Genetics 221
Countries citing papers authored by Xiaohua Yan
This map shows the geographic impact of Xiaohua Yan'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 Xiaohua Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Yan more than expected).
Fields of papers citing papers by Xiaohua Yan
This network shows the impact of papers produced by Xiaohua Yan. 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 Xiaohua Yan. The network helps show where Xiaohua Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohua Yan, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 348 | |
| 2 | Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy Hit paper breakdown → | 2020 | 312 |
| 3 | 2001 | 221 | |
| 4 | 2011 | 178 | |
| 5 | 2011 | 175 | |
| 6 | 2015 | 153 | |
| 7 | 2015 | 129 | |
| 8 | 2009 | 124 | |
| 9 | 2004 | 110 | |
| 10 | 2017 | 103 | |
| 11 | 2005 | 96 | |
| 12 | 2017 | 94 | |
| 13 | 2000 | 86 | |
| 14 | 2015 | 72 | |
| 15 | 2003 | 60 | |
| 16 | 2019 | 49 | |
| 17 | 2011 | 47 | |
| 18 | 2020 | 42 | |
| 19 | 2004 | 40 | |
| 20 | 2020 | 38 |
About Xiaohua Yan
Xiaohua Yan is a scholar working on Molecular Biology, Epidemiology, Oncology, Biochemistry and Neurology, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (20 papers), Ubiquitin and proteasome pathways (9 papers), Cancer-related gene regulation (8 papers), Kruppel-like factors research (7 papers), Biochemical Acid Research Studies (7 papers), Metabolism and Genetic Disorders (6 papers), Connective Tissue Growth Factor Research (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cancer Research (588 citations), Biochemistry (279 citations), Molecular Biology (2.1k citations), Reproductive Medicine (203 citations) and Genetics (221 citations). Xiaohua Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ye‐Guang Chen, Ziying Liu, Thomas E. Roche, Shane A. Kasten, Xiangyang Xiong, Jason C. Baker, Yasuaki Hiromasa, Xiaoming Gong, Ali Türkan and Tao Peng. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular and Molecular Medicine, Journal of Molecular Cell Biology, Nature Communications and Biochemistry.
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.