Dan Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Geriatrics and Gerontology top 5%
Papers in
-
- RNA modifications and cancer 8
- Ubiquitin and proteasome pathways 5
- Genomics and Phylogenetic Studies 4
-
- 2D Materials and Applications 8
- Co-authors
- Dieter Söll (6 shared papers)Mark Hochstrasser (5 shared papers)Christopher Spankovich (8 shared papers)Charles E. Bishop (8 shared papers)Daozhou Liu (1 shared paper)Tiehong Yang (1 shared paper)Bang‐Le Zhang (1 shared paper)Siyuan Zhou (1 shared paper)
- Journals
- Journal of Molecular Modeling (4 papers)The Laryngoscope (4 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Dan Su
83 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 292
- Geriatrics and Gerontology 63
- Sensory Systems 82
- Molecular Biology 782
- Oncology 191
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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 183 | |
| 2 | 2013 | 132 | |
| 3 | 2015 | 130 | |
| 4 | 2010 | 126 | |
| 5 | 2010 | 106 | |
| 6 | 2017 | 78 | |
| 7 | 2011 | 77 | |
| 8 | 2010 | 57 | |
| 9 | 2014 | 48 | |
| 10 | 2021 | 39 | |
| 11 | 2017 | 39 | |
| 12 | 2020 | 39 | |
| 13 | 2011 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2016 | 32 | |
| 17 | 2009 | 30 | |
| 18 | 2011 | 29 | |
| 19 | 2021 | 27 | |
| 20 | 2025 | 27 |
About Dan Su
Dan Su is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Genetics and Electrical and Electronic Engineering, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include 2D Materials and Applications (8 papers), RNA modifications and cancer (8 papers), Lung Cancer Treatments and Mutations (6 papers), Ubiquitin and proteasome pathways (5 papers), Chalcogenide Semiconductor Thin Films (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer-related molecular mechanisms research (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (292 citations), Geriatrics and Gerontology (63 citations), Sensory Systems (82 citations), Molecular Biology (782 citations) and Oncology (191 citations). Dan Su has collaborated with scholars based in China, United States and India. Frequent co-authors include Dieter Söll, Mark Hochstrasser, Christopher Spankovich, Charles E. Bishop, Daozhou Liu, Tiehong Yang, Bang‐Le Zhang, Siyuan Zhou, Ying Cheng and Miao Liu. Their work appears in journals such as Journal of Molecular Modeling, The Laryngoscope, PLoS ONE, Scientific Reports and Nucleic Acids Research.
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.