Xiuxing Wang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Aging 1
- Co-authors
- Ryan C. GimpleJeremy N. RichQiulian WuBriana C. PragerStephen C. MackLeo J.Y. KimShideng BaoZhe Zhu
- Journals
- Nature Communications (3 papers)Neuro-Oncology (3 papers)Poultry Science (2 papers)The Journal of Experimental Medicine (2 papers)Coloration Technology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiuxing Wang
55 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 695
- Genetics 336
- Endocrine and Autonomic Systems 164
- Aging 40
- Molecular Biology 1.5k
Countries citing papers authored by Xiuxing Wang
This map shows the geographic impact of Xiuxing Wang'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 Xiuxing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuxing Wang more than expected).
Fields of papers citing papers by Xiuxing Wang
This network shows the impact of papers produced by Xiuxing Wang. 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 Xiuxing Wang. The network helps show where Xiuxing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiuxing Wang, 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 | 2024 | 5 | |
| 2 | 2024 | 39 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 44 | |
| 5 | 2023 | 36 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 53 | |
| 8 | 2022 | 10 | |
| 9 | The RNA m6A Reader YTHDF2 Maintains Oncogene Expression and Is a Targetable Dependency in Glioblastoma Stem Cells Hit paper breakdown → | 2020 | 274 |
| 10 | 2019 | 217 | |
| 11 | 2019 | 32 | |
| 12 | 2019 | 121 | |
| 13 | 2017 | 258 | |
| 14 | 2016 | 127 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 52 | |
| 17 | 2015 | 28 | |
| 18 | 2014 | 20 | |
| 19 | 2010 | 14 | |
| 20 | 2008 | 26 |
About Xiuxing Wang
Xiuxing Wang is a scholar working on Cancer Research, Aging, Molecular Biology, Genetics and Building and Construction, having authored 55 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers), Glioma Diagnosis and Treatment (5 papers), Dyeing and Modifying Textile Fibers (5 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (695 citations), Genetics (336 citations), Endocrine and Autonomic Systems (164 citations), Aging (40 citations) and Molecular Biology (1.5k citations). Xiuxing Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ryan C. Gimple, Jeremy N. Rich, Qiulian Wu, Briana C. Prager, Stephen C. Mack, Leo J.Y. Kim, Shideng Bao, Zhe Zhu, Jianqiang Wang and Andrew E. Sloan. Their work appears in journals such as Nature Communications, Neuro-Oncology, Poultry Science, The Journal of Experimental Medicine and Coloration Technology.
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.