Daoud Sheban

1.1k citations
6 papers · 145 · h-index 5

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers

Papers in

    • Ubiquitin and proteasome pathways 3
    • Glycosylation and Glycoproteins Research 2
    • RNA Research and Splicing 1
    • Protein Degradation and Inhibitors 1
    • Cytokine Signaling Pathways and Interactions 1

Daoud Sheban

6 papers receiving 145 citations

Peers

Daoud Sheban
Comparison fields: 5 of 47
  • Cancer Research 26
  • Molecular Biology 105
  • Cell Biology 24
  • Obstetrics and Gynecology 11
  • Oncology 31
Replace Kärt Tomberg with:
Kärt Tomberg United States
Eduardo Zarzuela Spain
Katja Apelt Netherlands
Jingyi Li China
Maria Notaridou United Kingdom
Q. Zhang United States
Yifat Geffen United States
Mahmoud‐Reza Rafiee United Kingdom
Marie Jo Halaby Canada
Robert J. Ju Australia
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Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Daoud Sheban

Since Specialization
Citations

This map shows the geographic impact of Daoud Sheban'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 Sheban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoud Sheban more than expected).

Fields of papers citing papers by Daoud Sheban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daoud Sheban. 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 Sheban. The network helps show where Daoud Sheban may publish in the future.

Co-authors

The 25 scholars most cited alongside Daoud Sheban, 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 Sheban Line = papers co-authored together Daoud Sheban links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201456
2 201833
3 202233
4 202115
5 20215
6 20233

About Daoud Sheban

Daoud Sheban is a scholar working on Molecular Biology, Oncology, Immunology, Rheumatology and Cancer Research, having authored 6 papers that have together received 145 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), interferon and immune responses (2 papers), Glycosylation and Glycoproteins Research (2 papers), Folate and B Vitamins Research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), RNA Research and Splicing (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (26 citations), Molecular Biology (105 citations), Cell Biology (24 citations), Obstetrics and Gynecology (11 citations) and Oncology (31 citations). Daoud Sheban has collaborated with scholars based in Israel and United States. Frequent co-authors include Michal Stark, Bluma Berman, Nitzan Gonen, Yehuda G. Assaraf, Shachar Raz, Yifat Merbl, Avital Eisenberg‐Lerner, Merav D. Shmueli, Noa Novershtern and Jonathan Bayerl. Their work appears in journals such as Journal of Molecular Biology, FEBS Journal, Cell Death and Disease, Nature Biotechnology and Cell Death and Differentiation.

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.

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