Dan Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Gastroenterology top 5%
- Gastrointestinal Tumor Research and Treatment
Papers in ⓘ
-
- Circular RNAs in diseases 4
- PI3K/AKT/mTOR signaling in cancer 4
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Co-authors
- Di Jia (3 shared papers)Shenglan Li (1 shared paper)Haipeng Xue (1 shared paper)Ying Liu (1 shared paper)Dali Li (1 shared paper)Jonathan C. Trent (9 shared papers)Alexander J. Lazar (5 shared papers)Atsushi Kumatori (3 shared papers)
- Journals
- Radiology (2 papers)Journal of Biological Chemistry (2 papers)Oncology Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)Molecular Oncology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dan Yang
67 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 276
- Gastroenterology 98
- Oncology 436
- Immunology 319
- Pulmonary and Respiratory Medicine 356
Countries citing papers authored by Dan Yang
This map shows the geographic impact of Dan Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yang more than expected).
Fields of papers citing papers by Dan Yang
This network shows the impact of papers produced by Dan Yang. 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 Yang. The network helps show where Dan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yang, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 251 | |
| 2 | 2009 | 152 | |
| 3 | 2009 | 141 | |
| 4 | 2006 | 85 | |
| 5 | 2018 | 77 | |
| 6 | 2002 | 68 | |
| 7 | 2019 | 67 | |
| 8 | 2017 | 57 | |
| 9 | 2010 | 56 | |
| 10 | 2021 | 51 | |
| 11 | 2020 | 44 | |
| 12 | 2011 | 42 | |
| 13 | 2011 | 35 | |
| 14 | 2005 | 35 | |
| 15 | 2018 | 35 | |
| 16 | 2007 | 33 | |
| 17 | 2021 | 33 | |
| 18 | 2000 | 32 | |
| 19 | 2010 | 26 | |
| 20 | 2012 | 26 |
About Dan Yang
Dan Yang is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (6 papers), Sarcoma Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Cancer Research (276 citations), Gastroenterology (98 citations), Oncology (436 citations), Immunology (319 citations) and Pulmonary and Respiratory Medicine (356 citations). Dan Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Di Jia, Shenglan Li, Haipeng Xue, Ying Liu, Dali Li, Jonathan C. Trent, Alexander J. Lazar, Atsushi Kumatori, Michio Nakamura and Shoichi Suzuki. Their work appears in journals such as Radiology, Journal of Biological Chemistry, Oncology Reports, Biochemical and Biophysical Research Communications and Molecular Oncology.
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.