Dan Su
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Retinoids in leukemia and cellular processes
Papers in
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- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 3
- Cancer-related gene regulation 3
- RNA Research and Splicing 2
- Retinoids in leukemia and cellular processes 2
- Circular RNAs in diseases 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Lorraine J. Gudas (2 shared papers)Xuting Wang (4 shared papers)Douglas A. Bell (4 shared papers)Michelle R. Campbell (4 shared papers)Ma Wan (2 shared papers)Devin K. Porter (2 shared papers)Brian D. Bennett (2 shared papers)Gary S. Pittman (3 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (2 papers)PLoS ONE (2 papers)iScience (1 paper)Cancer Research (1 paper)BMB Reports (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Dan Su
22 papers receiving 453 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 84
- Molecular Biology 324
- Genetics 72
- Immunology 52
- Oncology 67
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 96 | |
| 2 | 2016 | 81 | |
| 3 | 2007 | 54 | |
| 4 | 2021 | 33 | |
| 5 | 2018 | 28 | |
| 6 | 2017 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2017 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2010 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2008 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2010 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | [Effect of Helicteres angustifolia on rats with ulcerative colitis]. | 2013 | 2 |
| 19 | Establishment and Evaluation of a Rat Model of Adriamycin-Induced Myocardial Injury | 2009 | 1 |
| 20 | 2017 | 1 |
About Dan Su
Dan Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Complementary and alternative medicine, having authored 22 papers that have together received 459 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), RNA Research and Splicing (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (84 citations), Molecular Biology (324 citations), Genetics (72 citations), Immunology (52 citations) and Oncology (67 citations). Dan Su has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Lorraine J. Gudas, Xuting Wang, Douglas A. Bell, Michelle R. Campbell, Ma Wan, Devin K. Porter, Brian D. Bennett, Gary S. Pittman, Francesc Castro-Giner and Zhiqing Huang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, PLoS ONE, iScience, Cancer Research and BMB 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.