Wang Ya
Impact in
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Retinal Imaging and Analysis
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in ⓘ
- Oncology 8
- Co-authors
- Jason A. Koutcher (4 shared papers)Wei Huang (2 shared papers)Howard T. Thaler (2 shared papers)Hilda E. Stambuk (2 shared papers)Snehal G. Patel (2 shared papers)Jatin P. Shah (2 shared papers)Amita Shukla‐Dave (2 shared papers)Nancy Y. Lee (2 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Neoplasia (1 paper)Magnetic Resonance in Medicine (1 paper)Molecules (1 paper)Biomedicine & Pharmacotherapy (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wang Ya
36 papers receiving 637 citations
Peers
Comparison fields: 5 of 94
- Radiology, Nuclear Medicine and Imaging 337
- Otorhinolaryngology 42
- Health Information Management 23
- Hepatology 39
- Ophthalmology 43
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 117 | |
| 2 | 2009 | 103 | |
| 3 | 2020 | 76 | |
| 4 | 2008 | 57 | |
| 5 | 2018 | 45 | |
| 6 | 2009 | 40 | |
| 7 | 2020 | 29 | |
| 8 | 2017 | 23 | |
| 9 | 2019 | 16 | |
| 10 | 20 years experience in chemotherapy of choriocarcinoma and malignant mole. | 1979 | 14 |
| 11 | 2023 | 14 | |
| 12 | 2018 | 14 | |
| 13 | Regulatory T cells in renal disease. | 2008 | 12 |
| 14 | 2021 | 11 | |
| 15 | Plasma Double-peak Phenomenon Following Oral Administration | 2014 | 8 |
| 16 | 2020 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2015 | 6 |
About Wang Ya
Wang Ya is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 40 papers that have together received 647 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (4 papers), Advanced MRI Techniques and Applications (3 papers), Immune Cell Function and Interaction (3 papers), Acute Myeloid Leukemia Research (2 papers), Diabetes Treatment and Management (2 papers), Air Quality and Health Impacts (2 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (337 citations), Otorhinolaryngology (42 citations), Health Information Management (23 citations), Hepatology (39 citations) and Ophthalmology (43 citations). Wang Ya has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jason A. Koutcher, Wei Huang, Howard T. Thaler, Hilda E. Stambuk, Snehal G. Patel, Jatin P. Shah, Amita Shukla‐Dave, Nancy Y. Lee, Lawrence H. Schwartz and David M. Panicek. Their work appears in journals such as International Journal of Biological Macromolecules, Neoplasia, Magnetic Resonance in Medicine, Molecules and Biomedicine & Pharmacotherapy.
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.