Daoud Sie

4.4k citations
54 papers · 2.2k · h-index 26

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Molecular Biology Techniques and Applications 5
    • RNA Research and Splicing 3
    • Epigenetics and DNA Methylation 3
    • Cancer Genomics and Diagnostics 11
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 6

Daoud Sie

53 papers receiving 2.2k citations

Peers

Daoud Sie
Comparison fields: 5 of 101
  • Cancer Research 766
  • Immunology 335
  • Molecular Biology 1.0k
  • Oncology 348
  • Aging 24
Replace Francis P. Lach with:
Francis P. Lach United States
Shunsuke Nakagawa Japan
Rachel Erlich United States
Danny Wangsa United States
Aaron R. Thorner United States
Natini Jinawath Thailand
Akinori Kanai Japan
Hila Benjamin Israel
Gerard Brady United Kingdom
Teresita Díaz de Ståhl Sweden
Daoud Sie relative to Francis P. Lach United States Francis P. Lach's profile →
Citations per field
00.5×1.5×2.0×
Francis P. Lach · 1×
Citations per year

Countries citing papers authored by Daoud Sie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daoud Sie Line = papers co-authored together Daoud Sie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011290
2 2014273
3 2010146
4 2008146
5 2009120
6 2008103
7 2014103
8 201259
9 201657
10 201257
11 201554
12 201852
13 201046
14 201844
15 201938
16 201337
17 201436
18 201234
19 201633
20 201133

About Daoud Sie

Daoud Sie is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Immunology, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Cancer-related molecular mechanisms research (6 papers), Genomic variations and chromosomal abnormalities (6 papers), MicroRNA in disease regulation (6 papers), Molecular Biology Techniques and Applications (5 papers), Cervical Cancer and HPV Research (3 papers), RNA Research and Splicing (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (766 citations), Immunology (335 citations), Molecular Biology (1.0k citations), Oncology (348 citations) and Aging (24 citations). Daoud Sie has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Bauke Ylstra, Ron Kerkhoven, Gerrit A. Meijer, Jeroen W. J. van Heijst, Koen Schepers, Carmen Gerlach, Ton N. Schumacher, Erwin Swart, Mark A. van de Wiel and Lodewyk F.A. Wessels. Their work appears in journals such as PLoS ONE, Genome Research, Cancer Research, Scientific Reports and Clinical Cancer 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.

Explore authors with similar magnitude of impact