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
- RNA Research and Splicing
- RNA Interference and Gene Delivery
Papers in
-
- MicroRNA in disease regulation 27
- Cancer-related molecular mechanisms research 14
- Breast Cancer Treatment Studies 2
-
- Circular RNAs in diseases 18
- RNA modifications and cancer 6
- RNA Research and Splicing 3
- Extracellular vesicles in disease 3
- Ubiquitin and proteasome pathways 2
- Co-authors
- Jinhai Tang (13 shared papers)Su‐Jin Yang (13 shared papers)Shanliang Zhong (10 shared papers)Jianhua Zhao (9 shared papers)Xiu Chen (10 shared papers)Hongyu Shen (3 shared papers)Huanhuan Sha (4 shared papers)Liangpeng Li (2 shared papers)
- Journals
- Gene (7 papers)Oncotarget (5 papers)Tumor Biology (5 papers)PLoS ONE (2 papers)BMC Endocrine Disorders (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dandan Wang
55 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 914
- Molecular Biology 1.1k
- Cell Biology 103
- Molecular Medicine 28
- Oncology 136
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2017 | 79 | |
| 3 | 2016 | 74 | |
| 4 | 2020 | 71 | |
| 5 | 2018 | 71 | |
| 6 | 2016 | 70 | |
| 7 | 2020 | 66 | |
| 8 | 2017 | 66 | |
| 9 | 2019 | 64 | |
| 10 | 2016 | 62 | |
| 11 | 2016 | 58 | |
| 12 | 2017 | 57 | |
| 13 | 2016 | 57 | |
| 14 | MiR-101: a potential therapeutic target of cancers. | 2018 | 57 |
| 15 | 2019 | 56 | |
| 16 | 2020 | 53 | |
| 17 | 2016 | 52 | |
| 18 | 2018 | 50 | |
| 19 | 2018 | 47 | |
| 20 | 2016 | 42 |
About Dandan Wang
Dandan Wang is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Surgery, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (27 papers), Circular RNAs in diseases (18 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (3 papers), Ubiquitin and proteasome pathways (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (914 citations), Molecular Biology (1.1k citations), Cell Biology (103 citations), Molecular Medicine (28 citations) and Oncology (136 citations). Dandan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jinhai Tang, Su‐Jin Yang, Shanliang Zhong, Jianhua Zhao, Xiu Chen, Hongyu Shen, Huanhuan Sha, Liangpeng Li, Dali Yan and Li Ding. Their work appears in journals such as Gene, Oncotarget, Tumor Biology, PLoS ONE and BMC Endocrine Disorders.
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.