Dan Yang
Impact in
- Gastroenterology top 5%
- Gastrointestinal Tumor Research and Treatment
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Circular RNAs in diseases 4
- RNA Interference and Gene Delivery 3
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 4
- Co-authors
- Di Jia (3 shared papers)Ying Liu (1 shared paper)Haipeng Xue (1 shared paper)Dali Li (1 shared paper)Shenglan Li (1 shared paper)Jonathan C. Trent (9 shared papers)Alexander J. Lazar (5 shared papers)Michio Nakamura (4 shared papers)
- Journals
- The Journal of Biochemistry (2 papers)PLoS ONE (2 papers)Molecular Oncology (2 papers)Oncology Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dan Yang
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Gastroenterology 81
- Oncology 368
- Cancer Research 184
- Immunology 265
- Pulmonary and Respiratory Medicine 255
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 253 | |
| 2 | 2009 | 153 | |
| 3 | 2009 | 141 | |
| 4 | 2006 | 85 | |
| 5 | 2018 | 79 | |
| 6 | 2019 | 69 | |
| 7 | 2002 | 68 | |
| 8 | 2017 | 58 | |
| 9 | 2010 | 56 | |
| 10 | 2021 | 53 | |
| 11 | 2011 | 43 | |
| 12 | 2011 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2005 | 35 | |
| 15 | 2018 | 35 | |
| 16 | 2007 | 33 | |
| 17 | 2000 | 32 | |
| 18 | 2023 | 29 | |
| 19 | 2012 | 27 | |
| 20 | 2010 | 26 |
About Dan Yang
Dan Yang is a scholar working on Molecular Biology, Cancer Research, Immunology, Plant Science and Pathology and Forensic Medicine, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (6 papers), Cancer-related molecular mechanisms research (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), MicroRNA in disease regulation (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Circular RNAs in diseases (4 papers), RNA Interference and Gene Delivery (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Gastroenterology (81 citations), Oncology (368 citations), Cancer Research (184 citations), Immunology (265 citations) and Pulmonary and Respiratory Medicine (255 citations). Dan Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Di Jia, Ying Liu, Haipeng Xue, Dali Li, Shenglan Li, Jonathan C. Trent, Alexander J. Lazar, Michio Nakamura, Atsushi Kumatori and Shoichi Suzuki. Their work appears in journals such as The Journal of Biochemistry, PLoS ONE, Molecular Oncology, Oncology Reports and Biochemical and Biophysical Research Communications.
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.