Daqian Sun
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Ubiquitin and proteasome pathways 5
- Epigenetics and DNA Methylation 3
- Oncology 7
- Cancer-related Molecular Pathways 6
- Cancer Cells and Metastasis 2
- Co-authors
- Mary Ann Accavitti (1 shared paper)James D. Bryers (1 shared paper)Liang Zhu (6 shared papers)Sunandini Sridhar (1 shared paper)Margherita Melegari (1 shared paper)Charles E. Rogler (1 shared paper)Liang Zhu (1 shared paper)Peng Ji (4 shared papers)
- Journals
- Journal of Plant Physiology (2 papers)Carcinogenesis (1 paper)Cell Reports (1 paper)Clinical and Vaccine Immunology (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Daqian Sun
20 papers receiving 846 citations
Peers
Comparison fields: 5 of 85
- Hematology 137
- Cancer Research 113
- Oncology 186
- Molecular Biology 462
- Neurology 40
Countries citing papers authored by Daqian Sun
This map shows the geographic impact of Daqian Sun'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 Daqian Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqian Sun more than expected).
Fields of papers citing papers by Daqian Sun
This network shows the impact of papers produced by Daqian Sun. 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 Daqian Sun. The network helps show where Daqian Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqian Sun, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 151 | |
| 2 | 2006 | 111 | |
| 3 | 2008 | 101 | |
| 4 | 2009 | 96 | |
| 5 | 2005 | 86 | |
| 6 | 2020 | 56 | |
| 7 | 2020 | 48 | |
| 8 | 2020 | 39 | |
| 9 | 2006 | 27 | |
| 10 | 2008 | 23 | |
| 11 | 2024 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2024 | 20 | |
| 14 | 2007 | 13 | |
| 15 | 2025 | 13 | |
| 16 | 2007 | 11 | |
| 17 | 2018 | 6 | |
| 18 | 2007 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2010 | 1 |
About Daqian Sun
Daqian Sun is a scholar working on Molecular Biology, Oncology, Plant Science, Cancer Research and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 855 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (5 papers), Plant Stress Responses and Tolerance (3 papers), Epigenetics and DNA Methylation (3 papers), Carbon and Quantum Dots Applications (2 papers), Cancer Cells and Metastasis (2 papers), Acute Myeloid Leukemia Research (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Hematology (137 citations), Cancer Research (113 citations), Oncology (186 citations), Molecular Biology (462 citations) and Neurology (40 citations). Daqian Sun has collaborated with scholars based in United States, China and France. Frequent co-authors include Mary Ann Accavitti, James D. Bryers, Liang Zhu, Sunandini Sridhar, Margherita Melegari, Charles E. Rogler, Liang Zhu, Peng Ji, Jiahao Chen and Ulrich Steidl. Their work appears in journals such as Journal of Plant Physiology, Carcinogenesis, Cell Reports, Clinical and Vaccine Immunology and Molecular Carcinogenesis.
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.