Dan Su
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
Papers in
-
- RNA modifications and cancer 7
- Oncology 43
- Pancreatic and Hepatic Oncology Research 7
- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 6
- Co-authors
- Lisha Ying (24 shared papers)Weimin Mao (11 shared papers)Liming Sheng (5 shared papers)Jianguo Feng (4 shared papers)Herbert Yu (9 shared papers)Junzhou Wu (8 shared papers)Fanrong Zhang (10 shared papers)Pengjun Zhao (3 shared papers)
- Journals
- Oncotarget (5 papers)Journal of Clinical Oncology (4 papers)Cancer Letters (4 papers)Heliyon (3 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Su
131 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 647
- Oncology 781
- Molecular Biology 1.2k
- Pulmonary and Respiratory Medicine 375
- Internal Medicine 31
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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2007 | 103 | |
| 3 | 2020 | 99 | |
| 4 | 2014 | 97 | |
| 5 | 2013 | 95 | |
| 6 | 2016 | 92 | |
| 7 | 2014 | 87 | |
| 8 | 2007 | 86 | |
| 9 | 2017 | 72 | |
| 10 | 2017 | 68 | |
| 11 | 2013 | 67 | |
| 12 | 2009 | 65 | |
| 13 | 2020 | 64 | |
| 14 | 2013 | 60 | |
| 15 | 2021 | 60 | |
| 16 | 2016 | 59 | |
| 17 | 2022 | 49 | |
| 18 | 2021 | 46 | |
| 19 | 2014 | 45 | |
| 20 | 2023 | 43 |
About Dan Su
Dan Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 141 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Esophageal Cancer Research and Treatment (9 papers), Cancer-related molecular mechanisms research (7 papers), Pancreatic and Hepatic Oncology Research (7 papers), Lung Cancer Treatments and Mutations (7 papers), RNA modifications and cancer (7 papers), Cancer Cells and Metastasis (6 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (647 citations), Oncology (781 citations), Molecular Biology (1.2k citations), Pulmonary and Respiratory Medicine (375 citations) and Internal Medicine (31 citations). Dan Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lisha Ying, Weimin Mao, Liming Sheng, Jianguo Feng, Herbert Yu, Junzhou Wu, Fanrong Zhang, Pengjun Zhao, Kaiyan Chen and Hao Jiang. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, Cancer Letters, Heliyon and Medicine.
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.