Wang Ya
Impact in
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
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- Renal Diseases and Glomerulopathies
Papers in
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- T-cell and B-cell Immunology 2
- Immunotoxicology and immune responses 2
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- Liver Disease and Transplantation 2
- Co-authors
- Miaolong Lu (1 shared paper)Xianquan Zhan (1 shared paper)Yong-Yi Feng (1 shared paper)Xin Li (2 shared papers)Ian Tagge (2 shared papers)CHARLES S. JUN. SPRINGER (2 shared papers)Elizabeth Ann Morris (2 shared papers)Venkatraman Seshan (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)PLoS ONE (3 papers)Frontiers in Microbiology (2 papers)Veterinary Sciences (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wang Ya
61 papers receiving 937 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 131
- Nephrology 42
- Molecular Medicine 28
- Pathology and Forensic Medicine 60
- Hepatology 29
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2008 | 79 | |
| 3 | 2008 | 64 | |
| 4 | 2019 | 61 | |
| 5 | 2012 | 60 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 42 | |
| 8 | 2020 | 42 | |
| 9 | 1988 | 36 | |
| 10 | 2016 | 28 | |
| 11 | 2022 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2014 | 21 | |
| 14 | 2016 | 19 | |
| 15 | 2017 | 19 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 18 | |
| 18 | 2023 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2021 | 17 |
About Wang Ya
Wang Ya is a scholar working on Immunology, Hepatology, Pulmonary and Respiratory Medicine, Molecular Medicine and Pathology and Forensic Medicine, having authored 64 papers that have together received 956 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (4 papers), Renal Diseases and Glomerulopathies (3 papers), Antibiotic Resistance in Bacteria (3 papers), T-cell and B-cell Immunology (2 papers), Brucella: diagnosis, epidemiology, treatment (2 papers), Immunotoxicology and immune responses (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (131 citations), Nephrology (42 citations), Molecular Medicine (28 citations), Pathology and Forensic Medicine (60 citations) and Hepatology (29 citations). Wang Ya has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Miaolong Lu, Xianquan Zhan, Yong-Yi Feng, Xin Li, Ian Tagge, CHARLES S. JUN. SPRINGER, Elizabeth Ann Morris, Venkatraman Seshan, Wei Huang and William D. Rooney. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Frontiers in Microbiology, Veterinary Sciences and Proceedings of the National Academy of Sciences.
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.