Maya Ameyar

586 citations
10 papers · 487 · h-index 9

Impact in

Papers in

    • Cell death mechanisms and regulation 5
    • Protein Kinase Regulation and GTPase Signaling 2
    • Ubiquitin and proteasome pathways 1
    • NF-κB Signaling Pathways 4

Maya Ameyar

10 papers receiving 477 citations

Peers

Maya Ameyar
Comparison fields: 5 of 85
  • Cancer Research 127
  • Immunology 99
  • Oncology 108
  • Molecular Biology 277
  • Toxicology 11
Replace Imtiaz A. Mawji with:
Imtiaz A. Mawji Canada
Marta Irigoyen Spain
Dianren Xia United States
G. Sica Italy
Sylvie Reveneau France
Lakita G. Cavin United States
I. Mayer Austria
Anita L. Korapati United States
Kanae Echizen Japan
Jin Na Shin United States
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Citations per field
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Citations per year

Countries citing papers authored by Maya Ameyar

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ameyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2003260
2
Stable inhibition of nuclear factor kappaB in cancer cells does not increase sensitivity to cytotoxic drugs.
199983
3 199932
4 200727
5 200022
6 199820
7 200115
8 200014
9
Methyltransferase inhibitor S-adenosyl-L-homocysteine sensitizes human breast carcinoma MCF7 cells and related TNF-resistant derivatives to TNF-mediated cytotoxicity via the ceramide-independent pathway.
199910
10 20014

About Maya Ameyar

Maya Ameyar is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Biotechnology, having authored 10 papers that have together received 487 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), NF-κB Signaling Pathways (4 papers), Cancer-related Molecular Pathways (2 papers), Cancer Research and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ubiquitin and proteasome pathways (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Cancer Research (127 citations), Immunology (99 citations), Oncology (108 citations), Molecular Biology (277 citations) and Toxicology (11 citations). Maya Ameyar has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include M. Wisniewska, Jonathan B Weitzman, Salem Chouaı̈b, Anne‐Cecile Hellin, Zhenzi Cai, M. P. Merville, Mohamed Bentires‐Alj, Vincent Bours, В. А. Шатров and Rodica Stancou. Their work appears in journals such as International Journal of Cancer, Oncogene, European Journal of Immunology, The Journal of Immunology and Journal of Biological Chemistry.

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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