Daqian Wan
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- Circular RNAs in diseases
- Natural product bioactivities and synthesis
- Bone Metabolism and Diseases
Papers in
-
- Circular RNAs in diseases 3
- Bone Metabolism and Diseases 3
- Signaling Pathways in Disease 2
- Natural product bioactivities and synthesis 2
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Songtao Ai (8 shared papers)Wenqi Song (1 shared paper)Yan Su (2 shared papers)Chaoyin Jiang (2 shared papers)Yang Qu (3 shared papers)Yimin Chai (2 shared papers)Lei Shao (1 shared paper)Liming Cheng (3 shared papers)
- Journals
- Anti-Cancer Drugs (3 papers)OncoTargets and Therapy (2 papers)Dose-Response (1 paper)ACS Biomaterials Science & Engineering (1 paper)Energies (1 paper)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Daqian Wan
27 papers receiving 331 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 89
- Molecular Biology 196
- Pharmacology 23
- Toxicology 7
- Oncology 53
Countries citing papers authored by Daqian Wan
This map shows the geographic impact of Daqian Wan'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 Daqian Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqian Wan more than expected).
Fields of papers citing papers by Daqian Wan
This network shows the impact of papers produced by Daqian Wan. 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 Daqian Wan. The network helps show where Daqian Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqian Wan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A novel growth suppressor gene on chromosome 17p13.3 with a high frequency of mutation in human hepatocellular carcinoma. | 2001 | 43 |
| 2 | 2016 | 34 | |
| 3 | 2017 | 34 | |
| 4 | 2015 | 32 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 2 |
About Daqian Wan
Daqian Wan is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Surgery and Pharmacology, having authored 30 papers that have together received 334 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Bone Metabolism and Diseases (3 papers), Signaling Pathways in Disease (2 papers), Nanoplatforms for cancer theranostics (2 papers), Natural product bioactivities and synthesis (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (89 citations), Molecular Biology (196 citations), Pharmacology (23 citations), Toxicology (7 citations) and Oncology (53 citations). Daqian Wan has collaborated with scholars based in China, India and United States. Frequent co-authors include Songtao Ai, Wenqi Song, Yan Su, Chaoyin Jiang, Yang Qu, Yimin Chai, Lei Shao, Liming Cheng, Jiezhi Dai and Ting Wang. Their work appears in journals such as Anti-Cancer Drugs, OncoTargets and Therapy, Dose-Response, ACS Biomaterials Science & Engineering and Energies.
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.