Ya Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Quantum Dots Synthesis And Properties 10
-
- Chalcogenide Semiconductor Thin Films 10
- Perovskite Materials and Applications 5
- Co-authors
- Vincent Lee (3 shared papers)Thian Kui Tan (3 shared papers)David C.H. Harris (3 shared papers)Guoping Zheng (3 shared papers)Qi Cao (3 shared papers)Xiangming Zhang (3 shared papers)Wooi Loon Ng (2 shared papers)Ping Wang (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Frontiers in Oncology (2 papers)Frontiers in Public Health (2 papers)ACS Applied Materials & Interfaces (2 papers)Stochastic Processes and their Applications (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ya Wang
65 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 339
- Nephrology 145
- Immunology 230
- Oncology 225
- Molecular Biology 558
Countries citing papers authored by Ya Wang
This map shows the geographic impact of Ya 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 Ya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Wang more than expected).
Fields of papers citing papers by Ya Wang
This network shows the impact of papers produced by Ya 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 Ya Wang. The network helps show where Ya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 240 | |
| 2 | 2010 | 200 | |
| 3 | 2012 | 158 | |
| 4 | 2010 | 144 | |
| 5 | 2013 | 132 | |
| 6 | 2021 | 113 | |
| 7 | 2022 | 86 | |
| 8 | 2019 | 59 | |
| 9 | 2017 | 54 | |
| 10 | 2017 | 48 | |
| 11 | 2019 | 47 | |
| 12 | 2019 | 37 | |
| 13 | 2017 | 37 | |
| 14 | 2023 | 37 | |
| 15 | 2023 | 36 | |
| 16 | 2012 | 31 | |
| 17 | 2022 | 27 | |
| 18 | 2016 | 26 | |
| 19 | 2021 | 21 | |
| 20 | 2019 | 21 |
About Ya Wang
Ya Wang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Oncology and Immunology, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (10 papers), Chalcogenide Semiconductor Thin Films (10 papers), Perovskite Materials and Applications (5 papers), Stochastic processes and financial applications (3 papers), Immune cells in cancer (3 papers), Food Quality and Safety Studies (3 papers), Freezing and Crystallization Processes (3 papers) and PARP inhibition in cancer therapy (3 papers). The work is most often cited by research in Cancer Research (339 citations), Nephrology (145 citations), Immunology (230 citations), Oncology (225 citations) and Molecular Biology (558 citations). Ya Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Vincent Lee, Thian Kui Tan, David C.H. Harris, Guoping Zheng, Qi Cao, Xiangming Zhang, Wooi Loon Ng, Ping Wang, Yiping Wang and Stephen I. Alexander. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Frontiers in Public Health, ACS Applied Materials & Interfaces and Stochastic Processes and their Applications.
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.