Daqian Wan
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Bone Metabolism and Diseases 3
- Cell death mechanisms and regulation 2
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- Bone Tissue Engineering Materials 3
- Advanced X-ray and CT Imaging 2
- Co-authors
- Songtao Ai (8 shared papers)Yan Su (2 shared papers)Wenqi Song (1 shared paper)James W. Coulton (1 shared paper)Chaoyin Jiang (2 shared papers)Yimin Chai (2 shared papers)Haichao Zhou (3 shared papers)Liming Cheng (3 shared papers)
- Journals
- Anti-Cancer Drugs (3 papers)OncoTargets and Therapy (2 papers)Canadian Journal of Microbiology (1 paper)Frontiers in Pharmacology (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaMontenegroUnited States
In The Last Decade
Daqian Wan
32 papers receiving 378 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 74
- Microbiology 17
- Molecular Biology 171
- Oncology 49
- Applied Microbiology and Biotechnology 3
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 33 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 | 37 | |
| 3 | 2017 | 35 | |
| 4 | 2016 | 33 | |
| 5 | 2015 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 1983 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2020 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 3 |
About Daqian Wan
Daqian Wan is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Pharmacology and Surgery, having authored 33 papers that have together received 384 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (3 papers), Bone Metabolism and Diseases (3 papers), Bone Tissue Engineering Materials (3 papers), MicroRNA in disease regulation (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Fungal Biology and Applications (2 papers), Advanced X-ray and CT Imaging (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (74 citations), Microbiology (17 citations), Molecular Biology (171 citations), Oncology (49 citations) and Applied Microbiology and Biotechnology (3 citations). Daqian Wan has collaborated with scholars based in China, Montenegro and United States. Frequent co-authors include Songtao Ai, Yan Su, Wenqi Song, James W. Coulton, Chaoyin Jiang, Yimin Chai, Haichao Zhou, Liming Cheng, Kang Sun and Ting Wang. Their work appears in journals such as Anti-Cancer Drugs, OncoTargets and Therapy, Canadian Journal of Microbiology, Frontiers in Pharmacology and Frontiers in Bioengineering and Biotechnology.
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.