Xia Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
-
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 4
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- Plant Molecular Biology Research 7
- Plant Stress Responses and Tolerance 5
- Co-authors
- Karl Münger (1 shared paper)Frank McKeon (1 shared paper)Yusuke Yamamoto (1 shared paper)Wa Xian (1 shared paper)Michaël Herfs (1 shared paper)Marisa R. Nucci (1 shared paper)Christopher P. Crum (1 shared paper)Anna Laury (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)Proceedings of the National Academy of Sciences (3 papers)Endocrinology (2 papers)Biology and Fertility of Soils (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xia Wang
124 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 157
- Cancer Research 384
- Biomaterials 231
- Molecular Biology 1.1k
- Oncology 348
- Plant Science 462
Countries citing papers authored by Xia Wang
This map shows the geographic impact of Xia 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 Xia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Wang more than expected).
Fields of papers citing papers by Xia Wang
This network shows the impact of papers produced by Xia 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 Xia Wang. The network helps show where Xia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia 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
Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 297 | |
| 2 | 2011 | 156 | |
| 3 | 2020 | 111 | |
| 4 | 2009 | 109 | |
| 5 | 2006 | 93 | |
| 6 | 1997 | 90 | |
| 7 | 2020 | 83 | |
| 8 | 2015 | 76 | |
| 9 | 2019 | 76 | |
| 10 | 2020 | 64 | |
| 11 | 2020 | 54 | |
| 12 | 2009 | 52 | |
| 13 | 2006 | 51 | |
| 14 | 2007 | 49 | |
| 15 | 2013 | 47 | |
| 16 | 2015 | 46 | |
| 17 | 2006 | 45 | |
| 18 | 2015 | 45 | |
| 19 | 2011 | 41 | |
| 20 | 2018 | 40 |
About Xia Wang
Xia Wang is a scholar working on Molecular Biology, Plant Science, Oncology, Surgery and Cancer Research, having authored 133 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers), RNA Research and Splicing (5 papers), Plant Stress Responses and Tolerance (5 papers), CRISPR and Genetic Engineering (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Cancer Research (384 citations), Biomaterials (231 citations), Molecular Biology (1.1k citations), Oncology (348 citations) and Plant Science (462 citations). Xia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Karl Münger, Frank McKeon, Yusuke Yamamoto, Wa Xian, Michaël Herfs, Marisa R. Nucci, Christopher P. Crum, Anna Laury, Sarah Feldman and Margaret E. McLaughlin-Drubin. Their work appears in journals such as International Journal of Molecular Sciences, Proceedings of the National Academy of Sciences, Endocrinology, Biology and Fertility of Soils and Medicine.
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.