Ying Wang
- Cancer Research top 0.5%
- MicroRNA in disease regulation 46
- Cancer-related molecular mechanisms research 22
- Immunology top 0.5%
- interferon and immune responses 21
- Molecular Biology top 1%
- Peroxisome Proliferator-Activated Receptors 21
- RNA modifications and cancer 20
- Mitochondrial Function and Pathology 20
- Circular RNAs in diseases 20
- Angiogenesis and VEGF in Cancer 16
- Oncology top 2%
- Physiology top 2%
- Co-authors
- Diane E. TaylorMercedes B. FuertesLeticia CorralesMaria-Luisa AlegreThomas F. GajewskiStefani SprangerMichael Y.K. LeungGlen N. Barber
- Journals
- PLoS ONE (8 papers)The FASEB Journal (7 papers)Arteriosclerosis Thrombosis and Vascular Biology (7 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ying Wang
331 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 2.1k
- Immunology 2.8k
- Molecular Biology 5.8k
- Oncology 1.6k
- Physiology 889
Countries citing papers authored by Ying Wang
This map shows the geographic impact of Ying 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 Ying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wang more than expected).
Fields of papers citing papers by Ying Wang
This network shows the impact of papers produced by Ying 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 Ying Wang. The network helps show where Ying Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 47 | |
| 17 | 2017 | 12 | |
| 18 | 2017 | 2 | |
| 19 | 2015 | 86 | |
| 20 | 2013 | 215 |
About Ying Wang
Ying Wang is a scholar working on Cancer Research, Immunology, Molecular Biology, Oncology and Neurology, having authored 355 papers that have together received 11.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (46 papers), Cancer-related molecular mechanisms research (22 papers), interferon and immune responses (21 papers), Peroxisome Proliferator-Activated Receptors (21 papers), RNA modifications and cancer (20 papers), Mitochondrial Function and Pathology (20 papers), Circular RNAs in diseases (20 papers) and Angiogenesis and VEGF in Cancer (16 papers). The work is most often cited by research in Cancer Research (2.1k citations), Immunology (2.8k citations), Molecular Biology (5.8k citations), Oncology (1.6k citations) and Physiology (889 citations). Ying Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Diane E. Taylor, Mercedes B. Fuertes, Leticia Corrales, Maria-Luisa Alegre, Thomas F. Gajewski, Stefani Spranger, Michael Y.K. Leung, Glen N. Barber, Seng‐Ryong Woo and Katherine A. Fitzgerald. Their work appears in journals such as PLoS ONE, The FASEB Journal, Arteriosclerosis Thrombosis and Vascular Biology, Cancer Research and Frontiers in Oncology.
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.