Dan Wang
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Cancer-related molecular mechanisms research 28
- MicroRNA in disease regulation 22
- Breast Cancer Treatment Studies 7
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- Thyroid Cancer Diagnosis and Treatment 19
- Co-authors
- Albert S. Baldwin (2 shared papers)Sandy D. Westerheide (1 shared paper)Julie Hanson Ostrander (1 shared paper)Song Liu (13 shared papers)Jin Ren (3 shared papers)Hui‐Xiong Xu (13 shared papers)Chong‐Ke Zhao (12 shared papers)Yaping He (8 shared papers)
- Journals
- Oncotarget (11 papers)Scientific Reports (9 papers)Journal of Biological Chemistry (4 papers)BioMed Research International (3 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dan Wang
200 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 1.8k
- Endocrinology, Diabetes and Metabolism 369
- Hematology 275
- Hepatology 152
- Oncology 342
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 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 395 | |
| 2 | 1998 | 329 | |
| 3 | 2012 | 256 | |
| 4 | 2017 | 184 | |
| 5 | 2008 | 158 | |
| 6 | 2014 | 146 | |
| 7 | 2020 | 131 | |
| 8 | 2012 | 114 | |
| 9 | 2021 | 97 | |
| 10 | 2016 | 90 | |
| 11 | 2015 | 73 | |
| 12 | 2014 | 71 | |
| 13 | 2016 | 71 | |
| 14 | 2017 | 69 | |
| 15 | 2009 | 62 | |
| 16 | 2020 | 62 | |
| 17 | 2017 | 61 | |
| 18 | 2017 | 59 | |
| 19 | 2018 | 58 | |
| 20 | 2013 | 57 |
About Dan Wang
Dan Wang is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Oncology, having authored 214 papers that have together received 5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (22 papers), Thyroid Cancer Diagnosis and Treatment (19 papers), Hepatitis B Virus Studies (8 papers), Breast Cancer Treatment Studies (7 papers), Ultrasound Imaging and Elastography (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Microstructure and mechanical properties (4 papers). The work is most often cited by research in Cancer Research (1.8k citations), Endocrinology, Diabetes and Metabolism (369 citations), Hematology (275 citations), Hepatology (152 citations) and Oncology (342 citations). Dan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Albert S. Baldwin, Sandy D. Westerheide, Julie Hanson Ostrander, Song Liu, Jin Ren, Hui‐Xiong Xu, Chong‐Ke Zhao, Yaping He, Xiao‐Long Li and Hua Tang. Their work appears in journals such as Oncotarget, Scientific Reports, Journal of Biological Chemistry, BioMed Research International and Journal of Cancer.
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.