Daoud Sie
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Molecular Biology top 10%
- Extracellular vesicles in disease
Papers in
-
- Cancer Genomics and Diagnostics 9
- MicroRNA in disease regulation 4
- Genetics 11
- Genomic variations and chromosomal abnormalities 7
- Co-authors
- Bauke Ylstra (21 shared papers)Gerrit A. Meijer (10 shared papers)Ron M Kerkhoven (7 shared papers)Renée X. de Menezes (2 shared papers)Dirk Michiel Pegtel (2 shared papers)Payman Sadek (1 shared paper)Monique A.J. van Eijndhoven (1 shared paper)Jaap Michiel Middeldorp (2 shared papers)
- Journals
- PLoS ONE (5 papers)Scientific Reports (3 papers)British Journal of Cancer (2 papers)Clinical Cancer Research (2 papers)Nature Genetics (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Daoud Sie
59 papers receiving 3.1k citations
Daoud Sie's Hit Papers
Peers
Comparison fields: 5 of 96
- Cancer Research 807
- Molecular Biology 965
- Immunology 287
- Reproductive Medicine 152
- Genetics 349
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 506 | |
| 2 | Copy number signatures and mutational processes in ovarian carcinoma Hit paper breakdown → | 2018 | 321 |
| 3 | 2011 | 295 | |
| 4 | 2014 | 215 | |
| 5 | Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease Hit paper breakdown → | 2022 | 157 |
| 6 | 2010 | 153 | |
| 7 | 2008 | 146 | |
| 8 | 2009 | 125 | |
| 9 | 2008 | 110 | |
| 10 | 2018 | 71 | |
| 11 | 2012 | 63 | |
| 12 | 2012 | 63 | |
| 13 | 2016 | 62 | |
| 14 | 2015 | 57 | |
| 15 | 2010 | 45 | |
| 16 | 2018 | 45 | |
| 17 | 2012 | 42 | |
| 18 | 2019 | 41 | |
| 19 | 2014 | 39 | |
| 20 | 2013 | 38 |
About Daoud Sie
Daoud Sie is a scholar working on Cancer Research, Genetics, Genetics, Pathology and Forensic Medicine and Otorhinolaryngology, having authored 60 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Genomic variations and chromosomal abnormalities (7 papers), Alzheimer's disease research and treatments (5 papers), Genetic factors in colorectal cancer (5 papers), MicroRNA in disease regulation (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cervical Cancer and HPV Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (807 citations), Molecular Biology (965 citations), Immunology (287 citations), Reproductive Medicine (152 citations) and Genetics (349 citations). Daoud Sie has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Bauke Ylstra, Gerrit A. Meijer, Ron M Kerkhoven, Renée X. de Menezes, Dirk Michiel Pegtel, Payman Sadek, Monique A.J. van Eijndhoven, Jaap Michiel Middeldorp, Michael Hackenberg and Nicoletta Zini. Their work appears in journals such as PLoS ONE, Scientific Reports, British Journal of Cancer, Clinical Cancer Research and Nature Genetics.
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.