Wang Ya
Impact in
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
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- Aortic Disease and Treatment Approaches 3
- Co-authors
- Miaolong Lu (1 shared paper)Xianquan Zhan (1 shared paper)Luminita A. Tudorica (2 shared papers)Ian Tagge (2 shared papers)Wei Huang (2 shared papers)William D. Rooney (2 shared papers)Charles S. Springer (2 shared papers)Elizabeth A. Morris (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Obesity (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wang Ya
56 papers receiving 819 citations
Peers
Comparison fields: 5 of 104
- Developmental Neuroscience 24
- Radiology, Nuclear Medicine and Imaging 125
- Hepatology 31
- Nephrology 28
- Immunology 81
Countries citing papers authored by Wang Ya
This map shows the geographic impact of Wang Ya'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 Wang Ya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Ya more than expected).
Fields of papers citing papers by Wang Ya
This network shows the impact of papers produced by Wang Ya. 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 Wang Ya. The network helps show where Wang Ya may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Ya, 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 | 2019 | 75 | |
| 2 | 2008 | 74 | |
| 3 | 2008 | 61 | |
| 4 | 2019 | 60 | |
| 5 | 2012 | 55 | |
| 6 | 2018 | 41 | |
| 7 | 2018 | 40 | |
| 8 | 2020 | 40 | |
| 9 | 2016 | 29 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2016 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2017 | 19 | |
| 16 | 2020 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2017 | 12 |
About Wang Ya
Wang Ya is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Immunology and Pharmacology, having authored 61 papers that have together received 824 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Microbial Metabolism and Applications (3 papers), Aortic Disease and Treatment Approaches (3 papers), T-cell and B-cell Immunology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Developmental Neuroscience (24 citations), Radiology, Nuclear Medicine and Imaging (125 citations), Hepatology (31 citations), Nephrology (28 citations) and Immunology (81 citations). Wang Ya has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Miaolong Lu, Xianquan Zhan, Luminita A. Tudorica, Ian Tagge, Wei Huang, William D. Rooney, Charles S. Springer, Elizabeth A. Morris, Xin Li and Venkatraman Seshan. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Proceedings of the National Academy of Sciences, Obesity and BMC Pregnancy and Childbirth.
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.