Dan Su
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in ⓘ
- Oncology 63
- Pancreatic and Hepatic Oncology Research 15
- Cancer Immunotherapy and Biomarkers 12
- Cancer Cells and Metastasis 11
- Lung Cancer Research Studies 9
- Co-authors
- Lisha Ying (23 shared papers)Weimin Mao (10 shared papers)Liming Sheng (5 shared papers)Jianguo Feng (4 shared papers)Herbert Yu (8 shared papers)Fanrong Zhang (9 shared papers)Junzhou Wu (7 shared papers)Hao Jiang (3 shared papers)
- Journals
- Oncotarget (5 papers)Cancer Letters (4 papers)Journal of Clinical Oncology (4 papers)Heliyon (3 papers)International Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Dan Su
129 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 795
- Oncology 993
- Molecular Biology 1.4k
- Pulmonary and Respiratory Medicine 571
- Internal Medicine 63
Countries citing papers authored by Dan Su
This map shows the geographic impact of Dan Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Su more than expected).
Fields of papers citing papers by Dan Su
This network shows the impact of papers produced by Dan Su. 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 Su. The network helps show where Dan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Su, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2020 | 99 | |
| 3 | 2007 | 96 | |
| 4 | 2013 | 94 | |
| 5 | 2016 | 92 | |
| 6 | 2014 | 92 | |
| 7 | 2014 | 86 | |
| 8 | 2007 | 84 | |
| 9 | 2017 | 69 | |
| 10 | 2017 | 66 | |
| 11 | 2009 | 63 | |
| 12 | 2013 | 60 | |
| 13 | 2020 | 58 | |
| 14 | 2013 | 58 | |
| 15 | 2016 | 56 | |
| 16 | 2021 | 55 | |
| 17 | 2022 | 48 | |
| 18 | 2014 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2014 | 43 |
About Dan Su
Dan Su is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 139 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), Pancreatic and Hepatic Oncology Research (15 papers), Lung Cancer Treatments and Mutations (13 papers), Cancer Immunotherapy and Biomarkers (12 papers), Esophageal Cancer Research and Treatment (11 papers), Cancer Cells and Metastasis (11 papers), Lung Cancer Research Studies (9 papers) and Venous Thromboembolism Diagnosis and Management (7 papers). The work is most often cited by research in Cancer Research (795 citations), Oncology (993 citations), Molecular Biology (1.4k citations), Pulmonary and Respiratory Medicine (571 citations) and Internal Medicine (63 citations). Dan Su has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Lisha Ying, Weimin Mao, Liming Sheng, Jianguo Feng, Herbert Yu, Fanrong Zhang, Junzhou Wu, Hao Jiang, Pengjun Zhao and Kaiyan Chen. Their work appears in journals such as Oncotarget, Cancer Letters, Journal of Clinical Oncology, Heliyon and International 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.