Reem Ali

641 citations
32 papers · 483 · h-index 15

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

    • DNA Repair Mechanisms 15
    • CRISPR and Genetic Engineering 4
    • Fungal and yeast genetics research 3
    • Retinoids in leukemia and cellular processes 2
    • PARP inhibition in cancer therapy 6

Reem Ali

29 papers receiving 481 citations

Peers

Reem Ali
Comparison fields: 5 of 60
  • Oncology 228
  • Cancer Research 85
  • Molecular Biology 288
  • Pathology and Forensic Medicine 54
  • Pulmonary and Respiratory Medicine 47
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Citations per field
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Citations per year

Countries citing papers authored by Reem Ali

Since Specialization
Citations

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

Fields of papers citing papers by Reem Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 201654
3 201753
4 201635
5 201829
6 201928
7 202123
8 201823
9 202023
10 202120
11 202218
12 202217
13 201916
14 201615
15 202114
16 201812
17 201910
18
Enhanced recognition of hydroxyl radical modified plasmid DNA by circulating cancer antibodies.
20058
19 20197
20 20236

About Reem Ali

Reem Ali is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Reproductive Medicine, having authored 32 papers that have together received 483 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), PARP inhibition in cancer therapy (6 papers), CRISPR and Genetic Engineering (4 papers), BRCA gene mutations in cancer (3 papers), Fungal and yeast genetics research (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer Genomics and Diagnostics (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Oncology (228 citations), Cancer Research (85 citations), Molecular Biology (288 citations), Pathology and Forensic Medicine (54 citations) and Pulmonary and Respiratory Medicine (47 citations). Reem Ali has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include Srinivasan Madhusudan, Emad A. Rakha, Andrew R. Green, Helen E. Bryant, Dindial Ramotar, Mustapha Aouida, Islam M. Miligy, Michael S. Toss, Ian O. Ellis and Stephen Chan. Their work appears in journals such as International Journal of Molecular Sciences, Breast Cancer Research and Treatment, Cells, Cancers and Oncotarget.

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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