Dan Yang
Impact in
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
- Gastroenterology top 5%
- Gastrointestinal Tumor Research and Treatment
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Kruppel-like factors research 3
-
- Gastrointestinal Tumor Research and Treatment 5
- Co-authors
- Jonathan C. Trent (9 shared papers)Jia Di (2 shared papers)Haipeng Xue (1 shared paper)Shenglan Li (1 shared paper)Dali Li (1 shared paper)Ying Liu (1 shared paper)Alexander J. Lazar (5 shared papers)Scott Eric Woodman (2 shared papers)
- Journals
- Molecular Oncology (3 papers)Radiology (2 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (2 papers)Oncology Reports (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dan Yang
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 92
- Oncology 303
- Gastroenterology 89
- Cancer Research 140
- Genetics 85
- Molecular Biology 457
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 255 | |
| 2 | 2009 | 171 | |
| 3 | 2009 | 154 | |
| 4 | 2006 | 88 | |
| 5 | 2018 | 86 | |
| 6 | 2019 | 75 | |
| 7 | 2002 | 69 | |
| 8 | 2010 | 63 | |
| 9 | 2017 | 59 | |
| 10 | 2021 | 57 | |
| 11 | 2021 | 44 | |
| 12 | 2011 | 43 | |
| 13 | 2011 | 38 | |
| 14 | 2005 | 37 | |
| 15 | 2018 | 36 | |
| 16 | 2007 | 33 | |
| 17 | 2012 | 28 | |
| 18 | 2010 | 27 | |
| 19 | 2010 | 25 | |
| 20 | 2007 | 20 |
About Dan Yang
Dan Yang is a scholar working on Molecular Biology, Gastroenterology, Cancer Research, Plant Science and Genetics, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (5 papers), Nematode management and characterization studies (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Kruppel-like factors research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Ultrasound and Hyperthermia Applications (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Oncology (303 citations), Gastroenterology (89 citations), Cancer Research (140 citations), Genetics (85 citations) and Molecular Biology (457 citations). Dan Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jonathan C. Trent, Jia Di, Haipeng Xue, Shenglan Li, Dali Li, Ying Liu, Alexander J. Lazar, Scott Eric Woodman, Kevin B. Kim and Michael A. Davies. Their work appears in journals such as Molecular Oncology, Radiology, PLoS ONE, Biochemical and Biophysical Research Communications and Oncology Reports.
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.