Daoud Sie
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in ⓘ
-
- Cancer Genomics and Diagnostics 14
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 7
- Genetics 14
- Genomic variations and chromosomal abnormalities 6
- Co-authors
- Bauke Ylstra (26 shared papers)Gerrit A. Meijer (12 shared papers)Ron Kerkhoven (7 shared papers)Renée X. de Menezes (2 shared papers)Jaap M. Middeldorp (2 shared papers)D. Michiel Pegtel (2 shared papers)Jeroen W. J. van Heijst (3 shared papers)Thomas Würdinger (1 shared paper)
- Journals
- PLoS ONE (5 papers)Clinical Cancer Research (3 papers)Scientific Reports (3 papers)Cancer Research (3 papers)Genome Research (3 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Daoud Sie
54 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 1.2k
- Molecular Biology 1.6k
- Immunology 374
- Oncology 451
- Aging 23
Countries citing papers authored by Daoud Sie
This map shows the geographic impact of Daoud Sie'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 Daoud Sie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoud Sie more than expected).
Fields of papers citing papers by Daoud Sie
This network shows the impact of papers produced by Daoud Sie. 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 Daoud Sie. The network helps show where Daoud Sie may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoud Sie, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nontemplated Nucleotide Additions Distinguish the Small RNA Composition in Cells from Exosomes Hit paper breakdown → | 2014 | 457 |
| 2 | 2011 | 275 | |
| 3 | 2014 | 265 | |
| 4 | 2008 | 140 | |
| 5 | 2010 | 139 | |
| 6 | 2009 | 117 | |
| 7 | 2008 | 101 | |
| 8 | 2014 | 97 | |
| 9 | 2012 | 58 | |
| 10 | 2016 | 56 | |
| 11 | 2012 | 55 | |
| 12 | 2015 | 53 | |
| 13 | 2018 | 51 | |
| 14 | 2010 | 43 | |
| 15 | 2018 | 41 | |
| 16 | 2014 | 35 | |
| 17 | 2013 | 35 | |
| 18 | 2019 | 34 | |
| 19 | 2016 | 33 | |
| 20 | 2012 | 33 |
About Daoud Sie
Daoud Sie is a scholar working on Cancer Research, Genetics, Molecular Biology, Oncology and Immunology, having authored 55 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers), Genetic factors in colorectal cancer (6 papers), Genomic variations and chromosomal abnormalities (6 papers), RNA modifications and cancer (5 papers), Molecular Biology Techniques and Applications (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.6k citations), Immunology (374 citations), Oncology (451 citations) and Aging (23 citations). Daoud Sie has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Bauke Ylstra, Gerrit A. Meijer, Ron Kerkhoven, Renée X. de Menezes, Jaap M. Middeldorp, D. Michiel Pegtel, Jeroen W. J. van Heijst, Thomas Würdinger, Ton N. Schumacher and Michael Hackenberg. Their work appears in journals such as PLoS ONE, Clinical Cancer Research, Scientific Reports, Cancer Research and Genome 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.