Wan-Ping Wang
Impact in
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- RNA Research and Splicing
- Nuclear Structure and Function
- Epigenetics and DNA Methylation
- Bioactive Natural Diterpenoids Research
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- RNA Research and Splicing 4
- Nuclear Structure and Function 4
- DNA Repair Mechanisms 2
- Oncology 4
- Lung Cancer Research Studies 2
- Co-authors
- Ya‐Hui Chi (8 shared papers)Jingya Wang (6 shared papers)Gunn‐Guang Liou (2 shared papers)Ping Zhang (1 shared paper)Lin‐Ai Tai (1 shared paper)Shi‐Jin Qu (1 shared paper)Wen‐Hsin Lin (2 shared papers)Yu‐Ching Chen (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (1 paper)Medicine (1 paper)Applied Physics Letters (1 paper)Disease Models & Mechanisms (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wan-Ping Wang
33 papers receiving 385 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 221
- Pharmacology 21
- Cell Biology 37
- Cancer Research 19
- Aging 2
Countries citing papers authored by Wan-Ping Wang
This map shows the geographic impact of Wan-Ping 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 Wan-Ping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan-Ping Wang more than expected).
Fields of papers citing papers by Wan-Ping Wang
This network shows the impact of papers produced by Wan-Ping 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 Wan-Ping Wang. The network helps show where Wan-Ping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan-Ping 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 60 | |
| 2 | 2014 | 56 | |
| 3 | 2017 | 47 | |
| 4 | 2015 | 30 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2009 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2009 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2018 | 6 | |
| 20 | 2019 | 5 |
About Wan-Ping Wang
Wan-Ping Wang is a scholar working on Molecular Biology, Oncology, Civil and Structural Engineering, Atmospheric Science and Biomedical Engineering, having authored 35 papers that have together received 394 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Nuclear Structure and Function (4 papers), Geotechnical Engineering and Soil Mechanics (3 papers), Climate change and permafrost (3 papers), DNA Repair Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers), Lung Cancer Research Studies (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Molecular Biology (221 citations), Pharmacology (21 citations), Cell Biology (37 citations), Cancer Research (19 citations) and Aging (2 citations). Wan-Ping Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ya‐Hui Chi, Jingya Wang, Gunn‐Guang Liou, Ping Zhang, Lin‐Ai Tai, Shi‐Jin Qu, Wen‐Hsin Lin, Yu‐Ching Chen, Chang‐Heng Tan and Xiaoping Yu. Their work appears in journals such as European Journal of Medicinal Chemistry, Medicine, Applied Physics Letters, Disease Models & Mechanisms and Journal of Medicinal Chemistry.
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.