Ali Zekri

715 citations
38 papers · 583 · h-index 17

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 7
    • Microtubule and mitosis dynamics 7
    • Skin and Cellular Biology Research 4

Ali Zekri

34 papers receiving 583 citations

Peers

Ali Zekri
Comparison fields: 5 of 91
  • Cancer Research 114
  • Cell Biology 119
  • Molecular Biology 353
  • Oncology 138
  • Pharmacology 54
Replace Danni Sun with:
Danni Sun China
Sebastian Walpen Switzerland
Chang‐Hun Rhee South Korea
Giacomo Canesin United States
Monserrat Olea‐Flores Mexico
Virginia Novaro Argentina
Xiaohe Luo China
Carly M. Sayers United States
Karl Deacon United Kingdom
Snehalata A. Pawar United States
Ali Zekri relative to Danni Sun China Danni Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ali Zekri

Since Specialization
Citations

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

Fields of papers citing papers by Ali Zekri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 201243
3 201633
4 201433
5 202131
6 201828
7 202027
8 201526
9 201323
10 201820
11 201619
12
Silibinin induces apoptosis and inhibits proliferation of estrogen receptor (ER)-negative breast carcinoma cells through suppression of nuclear factor kappa B activation.
201418
13 201718
14 201417
15 201517
16 201317
17 201617
18 201716
19 201516
20 201414

About Ali Zekri

Ali Zekri is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 38 papers that have together received 583 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (7 papers), Microtubule and mitosis dynamics (7 papers), Cancer-related Molecular Pathways (6 papers), Neuroblastoma Research and Treatments (4 papers), Skin and Cellular Biology Research (4 papers), Cancer-related molecular mechanisms research (4 papers), NF-κB Signaling Pathways (3 papers) and Autoimmune Bullous Skin Diseases (3 papers). The work is most often cited by research in Cancer Research (114 citations), Cell Biology (119 citations), Molecular Biology (353 citations), Oncology (138 citations) and Pharmacology (54 citations). Ali Zekri has collaborated with scholars based in Iran, United States and Iraq. Frequent co-authors include Seyed H. Ghaffari, Ardeshir Ghavamzadeh, Kamran Alimoghaddam, Mohammad Hossein Modarressi, Meysam Yousefi, Majid Momeny, Mina Tabrizi, Shahin Ahmadian, Soudeh Ghafouri‐Fard and Fatemeh Nabavizadeh. Their work appears in journals such as European Journal of Pharmacology, Tumor Biology, Annals of Hematology, Experimental and Molecular Pathology and Neurochemical 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.

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