Xuying Wang
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Endocrinology top 5%
Papers in
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- Plant Disease Resistance and Genetics 5
-
- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 6
- RNA modifications and cancer 6
- Co-authors
- James T. Anderson (6 shared papers)Joseph Heitman (10 shared papers)Marianna Feretzaki (4 shared papers)Sheng Sun (3 shared papers)Wei Wu (2 shared papers)Kai Hou (2 shared papers)Eckhard Jankowsky (3 shared papers)Min Ni (1 shared paper)
- Journals
- Journal of Systematics and Evolution (2 papers)Archives of Virology (2 papers)PLoS Genetics (2 papers)RNA (2 papers)Poultry Science (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xuying Wang
55 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 147
- Ecological Modeling 130
- Endocrinology 85
- Plant Science 463
- Molecular Biology 855
- Infectious Diseases 180
Countries citing papers authored by Xuying Wang
This map shows the geographic impact of Xuying 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 Xuying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuying Wang more than expected).
Fields of papers citing papers by Xuying Wang
This network shows the impact of papers produced by Xuying 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 Xuying Wang. The network helps show where Xuying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xuying 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 233 | |
| 2 | 2018 | 222 | |
| 3 | 2018 | 186 | |
| 4 | 2006 | 169 | |
| 5 | 2010 | 109 | |
| 6 | 2013 | 86 | |
| 7 | 2011 | 85 | |
| 8 | 2014 | 82 | |
| 9 | 2012 | 80 | |
| 10 | 2019 | 78 | |
| 11 | 2007 | 77 | |
| 12 | 2012 | 63 | |
| 13 | 2020 | 59 | |
| 14 | 2018 | 50 | |
| 15 | 1990 | 46 | |
| 16 | 2009 | 45 | |
| 17 | 2012 | 33 | |
| 18 | 2016 | 31 | |
| 19 | 2020 | 20 | |
| 20 | 2013 | 18 |
About Xuying Wang
Xuying Wang is a scholar working on Plant Science, Molecular Biology, Epidemiology, Infectious Diseases and Health, Toxicology and Mutagenesis, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fungal Infections and Studies (9 papers), RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), Plant and Fungal Interactions Research (5 papers), Plant Disease Resistance and Genetics (5 papers), Air Quality and Health Impacts (4 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Ecological Modeling (130 citations), Endocrinology (85 citations), Plant Science (463 citations), Molecular Biology (855 citations) and Infectious Diseases (180 citations). Xuying Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include James T. Anderson, Joseph Heitman, Marianna Feretzaki, Sheng Sun, Wei Wu, Kai Hou, Eckhard Jankowsky, Min Ni, Huijue Jia and Bo Wei. Their work appears in journals such as Journal of Systematics and Evolution, Archives of Virology, PLoS Genetics, RNA and Poultry Science.
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.