Omar Rahal

840 citations
20 papers · 623 · h-index 12

Impact in

Papers in

    • Cancer Cells and Metastasis 8
    • Cancer Risks and Factors 4
    • Epigenetics and DNA Methylation 2
    • Protein Hydrolysis and Bioactive Peptides 2

Omar Rahal

20 papers receiving 619 citations

Peers

Omar Rahal
Comparison fields: 5 of 84
  • Cancer Research 131
  • Oncology 200
  • Molecular Biology 331
  • Immunology 96
  • Pathology and Forensic Medicine 81
Replace Young‐Lan Park with:
Young‐Lan Park South Korea
Kaiqun Ren China
Balaji Ramachandran India
Elena Aréchaga-Ocampo Mexico
Ming‐Chung Jiang Taiwan
Jiuan-Jiuan Hwang Taiwan
Ke Huang China
Ekaterina A. Lesovaya Russia
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Citations per field
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Citations per year

Countries citing papers authored by Omar Rahal

Since Specialization
Citations

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

Fields of papers citing papers by Omar Rahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017128
2 201299
3 200960
4 201760
5 202150
6 201047
7 201242
8 201332
9 201129
10 202025
11 201211
12 201111
13 200910
14 201310
15 20163
16
Selective expression of constitutively active pro-apoptotic protein BikDD gene in primary mammary tumors inhibits tumor growth and reduces tumor initiating cells.
20152
17 20201
18 20111
19 20121
20 20111

About Omar Rahal

Omar Rahal is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Cancer Research, having authored 20 papers that have together received 623 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Phytoestrogen effects and research (5 papers), Cancer Risks and Factors (4 papers), Cancer, Lipids, and Metabolism (3 papers), Epigenetics and DNA Methylation (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Hops Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (131 citations), Oncology (200 citations), Molecular Biology (331 citations), Immunology (96 citations) and Pathology and Forensic Medicine (81 citations). Omar Rahal has collaborated with scholars based in United States, Taiwan and Puerto Rico. Frequent co-authors include Wendy A. Woodward, Frank A. Simmen, Maria Theresa E. Montales, Rosalia C.M. Simmen, Rosalia C. M. Simmen, John Mark P. Pabona, Ronald L. Prior, Richard Larson, Xianli Wu and Jie Kang. Their work appears in journals such as Carcinogenesis, The FASEB Journal, Journal of Endocrinology, Biotechnology and Bioengineering and International Journal of Radiation Oncology*Biology*Physics.

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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