Dan Su
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
Papers in ⓘ
-
- RNA modifications and cancer 13
- Epigenetics and DNA Methylation 6
- RNA and protein synthesis mechanisms 6
- Cancer-related gene regulation 4
- Oncology 12
- Co-authors
- Peter C. Dedon (5 shared papers)Thomas J. Begley (4 shared papers)I. Ramesh Babu (4 shared papers)Dieter Söll (5 shared papers)Clement T. Y. Chan (3 shared papers)Michael J. Hohn (3 shared papers)Yok Hian Chionh (3 shared papers)Megan E. McBee (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)FEBS Letters (2 papers)Plant Disease (2 papers)FEBS Journal (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dan Su
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 226
- Molecular Biology 974
- Oncology 224
- Nutrition and Dietetics 113
- Cell Biology 74
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 218 | |
| 2 | 2006 | 156 | |
| 3 | 2013 | 83 | |
| 4 | 2015 | 81 | |
| 5 | 2011 | 76 | |
| 6 | 2023 | 70 | |
| 7 | 2023 | 68 | |
| 8 | 2009 | 65 | |
| 9 | 2014 | 43 | |
| 10 | 2012 | 42 | |
| 11 | 2012 | 39 | |
| 12 | 2013 | 37 | |
| 13 | 2012 | 33 | |
| 14 | 2014 | 33 | |
| 15 | 2014 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2010 | 19 | |
| 20 | 2015 | 18 |
About Dan Su
Dan Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Epigenetics and DNA Methylation (6 papers), RNA and protein synthesis mechanisms (6 papers), Lung Cancer Treatments and Mutations (6 papers), Metalloenzymes and iron-sulfur proteins (4 papers), Cancer-related gene regulation (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (226 citations), Molecular Biology (974 citations), Oncology (224 citations), Nutrition and Dietetics (113 citations) and Cell Biology (74 citations). Dan Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter C. Dedon, Thomas J. Begley, I. Ramesh Babu, Dieter Söll, Clement T. Y. Chan, Michael J. Hohn, Yok Hian Chionh, Megan E. McBee, Chen Gu and Kok Seong Lim. Their work appears in journals such as Proceedings of the National Academy of Sciences, FEBS Letters, Plant Disease, FEBS Journal and EMBO Molecular 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.