Dan Wang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
Papers in
-
- Cancer-related molecular mechanisms research 42
- MicroRNA in disease regulation 32
- Cancer, Hypoxia, and Metabolism 8
-
- Circular RNAs in diseases 21
- RNA modifications and cancer 21
- Co-authors
- Albert S. Baldwin (2 shared papers)Julie L. Hanson (1 shared paper)Sandy D. Westerheide (1 shared paper)Jin Ren (3 shared papers)Hui‐Xiong Xu (13 shared papers)Chong‐Ke Zhao (12 shared papers)Song Liu (7 shared papers)Yaping He (8 shared papers)
- Journals
- Oncotarget (11 papers)Scientific Reports (9 papers)Journal of Alloys and Compounds (5 papers)Journal of Biological Chemistry (4 papers)BioMed Research International (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Wang
212 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 1.9k
- Immunology 731
- Molecular Biology 2.3k
- Hepatology 181
- Oncology 613
Countries citing papers authored by Dan Wang
This map shows the geographic impact of Dan 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 Dan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wang more than expected).
Fields of papers citing papers by Dan Wang
This network shows the impact of papers produced by Dan 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 Dan Wang. The network helps show where Dan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 227 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 396 | |
| 2 | 1998 | 331 | |
| 3 | 2012 | 254 | |
| 4 | 2017 | 184 | |
| 5 | 2008 | 157 | |
| 6 | 2014 | 146 | |
| 7 | 2020 | 130 | |
| 8 | 2012 | 112 | |
| 9 | 2021 | 97 | |
| 10 | 2016 | 90 | |
| 11 | 2015 | 74 | |
| 12 | 2016 | 72 | |
| 13 | 2014 | 71 | |
| 14 | 2017 | 70 | |
| 15 | 2013 | 65 | |
| 16 | 2009 | 62 | |
| 17 | 2017 | 61 | |
| 18 | 2020 | 60 | |
| 19 | 2018 | 58 | |
| 20 | 2017 | 58 |
About Dan Wang
Dan Wang is a scholar working on Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism, Immunology and Epidemiology, having authored 227 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (42 papers), MicroRNA in disease regulation (32 papers), Thyroid Cancer Diagnosis and Treatment (22 papers), Circular RNAs in diseases (21 papers), RNA modifications and cancer (21 papers), Hepatitis B Virus Studies (8 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Thyroid and Parathyroid Surgery (7 papers). The work is most often cited by research in Cancer Research (1.9k citations), Immunology (731 citations), Molecular Biology (2.3k citations), Hepatology (181 citations) and Oncology (613 citations). Dan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Albert S. Baldwin, Julie L. Hanson, Sandy D. Westerheide, Jin Ren, Hui‐Xiong Xu, Chong‐Ke Zhao, Song Liu, Yaping He, Xiao‐Long Li and Hua Tang. Their work appears in journals such as Oncotarget, Scientific Reports, Journal of Alloys and Compounds, Journal of Biological Chemistry and BioMed Research International.
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.