Osama E. Demerdash

1.2k citations
15 papers · 754 · h-index 11

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
    • Cancer-related molecular mechanisms research

Papers in

    • Protein Degradation and Inhibitors 3
    • Epigenetics and DNA Methylation 2
    • Histone Deacetylase Inhibitors Research 2
    • RNA modifications and cancer 2
    • Planarian Biology and Electrostimulation 2

Osama E. Demerdash

15 papers receiving 750 citations

Peers

Osama E. Demerdash
Comparison fields: 5 of 76
  • Oncology 296
  • Cancer Research 134
  • Molecular Biology 478
  • Hematology 49
  • Epidemiology 149
Replace Tangliang Li with:
Tangliang Li China
É. Tournier France
Roland Jurecic United States
A. Behmel Austria
Ashley Kuenzi Davis United States
Ernest Turro United Kingdom
Andrea C. Carpenter United States
Rumela Chakrabarti United States
Toshiro Mizuno Japan
Jian Cao China
Osama E. Demerdash relative to Tangliang Li China Tangliang Li's profile →
Citations per field
00.5×3.4×
Tangliang Li · 1×
Citations per year

Countries citing papers authored by Osama E. Demerdash

Since Specialization
Citations

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

Fields of papers citing papers by Osama E. Demerdash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osama E. Demerdash. 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 Osama E. Demerdash. The network helps show where Osama E. Demerdash may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018256
2 201893
3 201574
4 201469
5 202058
6 201648
7 201840
8 202028
9 201524
10 201924
11 202120
12 20248
13 20247
14 20224
15 20241

About Osama E. Demerdash

Osama E. Demerdash is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Hematology, having authored 15 papers that have together received 754 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Phagocytosis and Immune Regulation (2 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Marine Ecology and Invasive Species (2 papers), RNA modifications and cancer (2 papers) and Planarian Biology and Electrostimulation (2 papers). The work is most often cited by research in Oncology (296 citations), Cancer Research (134 citations), Molecular Biology (478 citations), Hematology (49 citations) and Epidemiology (149 citations). Osama E. Demerdash has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Christopher R. Vakoc, Olaf Klingbeil, Tim D.D. Somerville, Xiaoli Wu, Junwei Shi, Joseph P. Milazzo, Yuhan Huang, David L. Spector, Mikala Egeblad and Xue‐Yan He. Their work appears in journals such as Molecular Cell, Cancer Discovery, Cell Reports, Genes & Development and iScience.

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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