Yaping Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Protein Degradation and Inhibitors 4
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Oncology 14
- Cancer Immunotherapy and Biomarkers 6
- Cancer Cells and Metastasis 3
- Co-authors
- Yanling Wang (13 shared papers)Dongmiao Wang (13 shared papers)Jie Cheng (9 shared papers)Hongbing Jiang (11 shared papers)Pengfei Diao (11 shared papers)Han Ge (7 shared papers)Jie Cheng (10 shared papers)Wei Zhang (4 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Cancer Cell International (2 papers)Journal of Oral Pathology and Medicine (2 papers)Cancer Research (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yaping Wu
47 papers receiving 875 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 166
- Oncology 208
- Molecular Biology 399
- Immunology 112
- Otorhinolaryngology 18
Countries citing papers authored by Yaping Wu
This map shows the geographic impact of Yaping Wu'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 Yaping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Wu more than expected).
Fields of papers citing papers by Yaping Wu
This network shows the impact of papers produced by Yaping Wu. 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 Yaping Wu. The network helps show where Yaping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping Wu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 52 | |
| 2 | 2023 | 50 | |
| 3 | 2017 | 49 | |
| 4 | 2019 | 48 | |
| 5 | 2019 | 47 | |
| 6 | 2018 | 46 | |
| 7 | 2022 | 41 | |
| 8 | 2018 | 41 | |
| 9 | 2022 | 38 | |
| 10 | 2002 | 37 | |
| 11 | 2017 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2021 | 31 | |
| 14 | 2022 | 26 | |
| 15 | 2018 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2017 | 17 | |
| 20 | 2018 | 16 |
About Yaping Wu
Yaping Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 51 papers that have together received 886 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related molecular mechanisms research (4 papers), Protein Degradation and Inhibitors (4 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), Immune cells in cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (166 citations), Oncology (208 citations), Molecular Biology (399 citations), Immunology (112 citations) and Otorhinolaryngology (18 citations). Yaping Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanling Wang, Dongmiao Wang, Jie Cheng, Hongbing Jiang, Pengfei Diao, Han Ge, Jie Cheng, Wei Zhang, Zhongwu Li and Yue Song. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Cancer Cell International, Journal of Oral Pathology and Medicine, Cancer Research and Cancer Letters.
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.