Da Wo
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- RNA modifications and cancer
Papers in
-
- Wnt/β-catenin signaling in development and cancer 7
- Signaling Pathways in Disease 5
- Cancer-related gene regulation 4
-
- Cardiac Fibrosis and Remodeling 6
- Co-authors
- Weidong Zhu (19 shared papers)Jingxiao Chen (15 shared papers)Dan‐ni Ren (20 shared papers)Jun Peng (10 shared papers)Hongwei Yan (6 shared papers)Shangfeng Liu (3 shared papers)Jianfeng Chu (2 shared papers)Jing Hua (3 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)Journal of Cellular and Molecular Medicine (3 papers)Clinical Cancer Research (1 paper)Phytotherapy Research (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Da Wo
29 papers receiving 389 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 58
- Molecular Biology 203
- Complementary and alternative medicine 21
- Obstetrics and Gynecology 17
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by Da Wo
This map shows the geographic impact of Da Wo'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 Da Wo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wo more than expected).
Fields of papers citing papers by Da Wo
This network shows the impact of papers produced by Da Wo. 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 Da Wo. The network helps show where Da Wo may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Wo, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 55 | |
| 2 | 2014 | 31 | |
| 3 | 2019 | 30 | |
| 4 | 2017 | 24 | |
| 5 | 2023 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2013 | 20 | |
| 9 | 2018 | 16 | |
| 10 | 2015 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2015 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2020 | 8 |
About Da Wo
Da Wo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Oncology and Physiology, having authored 32 papers that have together received 393 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Signaling Pathways in Disease (5 papers), Cancer-related gene regulation (4 papers), NF-κB Signaling Pathways (3 papers), Traditional Chinese Medicine Analysis (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Children's Physical and Motor Development (2 papers). The work is most often cited by research in Cancer Research (58 citations), Molecular Biology (203 citations), Complementary and alternative medicine (21 citations), Obstetrics and Gynecology (17 citations) and Cardiology and Cardiovascular Medicine (49 citations). Da Wo has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Weidong Zhu, Jingxiao Chen, Dan‐ni Ren, Jun Peng, Hongwei Yan, Shangfeng Liu, Jianfeng Chu, Jing Hua, Jun Peng and Jianhua Yang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Cellular and Molecular Medicine, Clinical Cancer Research, Phytotherapy Research and BMC Pregnancy and Childbirth.
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.