Dandan Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
-
- Circular RNAs in diseases 14
- Extracellular vesicles in disease 7
- RNA modifications and cancer 5
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- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 8
- Co-authors
- Jinhai Tang (24 shared papers)Su‐Jin Yang (24 shared papers)Shanliang Zhong (16 shared papers)Siying Zhou (15 shared papers)Jianhua Zhao (11 shared papers)Xiu Chen (10 shared papers)Hanzi Xu (8 shared papers)Wen‐Xiu Xu (7 shared papers)
- Journals
- Epigenomics (6 papers)Frontiers in Oncology (3 papers)Medicine (2 papers)Cell Death and Disease (2 papers)Aging (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dandan Wang
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 726
- Molecular Biology 936
- Molecular Medicine 33
- Immunology 124
- Oncology 149
Countries citing papers authored by Dandan Wang
This map shows the geographic impact of Dandan 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 Dandan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Wang more than expected).
Fields of papers citing papers by Dandan Wang
This network shows the impact of papers produced by Dandan 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 Dandan Wang. The network helps show where Dandan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2021 | 106 | |
| 3 | 2018 | 85 | |
| 4 | 2020 | 80 | |
| 5 | MiR-145: a potential biomarker of cancer migration and invasion. | 2019 | 66 |
| 6 | 2019 | 60 | |
| 7 | 2021 | 58 | |
| 8 | 2018 | 57 | |
| 9 | 2020 | 56 | |
| 10 | 2020 | 52 | |
| 11 | 2017 | 52 | |
| 12 | 2019 | 52 | |
| 13 | 2020 | 49 | |
| 14 | 2022 | 44 | |
| 15 | 2018 | 40 | |
| 16 | 2019 | 37 | |
| 17 | 2020 | 35 | |
| 18 | 2018 | 35 | |
| 19 | 2017 | 31 | |
| 20 | 2016 | 28 |
About Dandan Wang
Dandan Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Epidemiology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Circular RNAs in diseases (14 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (8 papers), Extracellular vesicles in disease (7 papers), RNA modifications and cancer (5 papers), Immune cells in cancer (3 papers), HER2/EGFR in Cancer Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (726 citations), Molecular Biology (936 citations), Molecular Medicine (33 citations), Immunology (124 citations) and Oncology (149 citations). Dandan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinhai Tang, Su‐Jin Yang, Shanliang Zhong, Siying Zhou, Jianhua Zhao, Xiu Chen, Hanzi Xu, Wen‐Xiu Xu, Junchen Hou and Qian Zhang. Their work appears in journals such as Epigenomics, Frontiers in Oncology, Medicine, Cell Death and Disease and Aging.
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.