Ruth Maya

7.3k citations
13 papers · 5.7k indexed · 2 hit papers · h-index 12

Ruth Maya

13 papers receiving 5.6k citations

Hit Papers

ATM-dependent phosphorylation of Mdm2 on serine 395: role...514199720262006201610002.0k3.0k

Peers

Ruth Maya
Comparison fields: 5 of 116
  • Oncology 4.0k
  • Biotechnology 880
  • Molecular Biology 4.6k
  • Cancer Research 965
  • Cell Biology 630
Replace William Walsh with:
William Walsh United States
Sheau-Yann Shieh Taiwan
Christine E. Canman United States
Naomi Goldfinger Israel
Natalia Issaeva United States
Meredith S. Irwin Canada
C J Sherr United States
B Vogelstein United States
David T. Dicker United States
Brigitte M. Pützer Germany
Ruth Maya relative to William Walsh United States William Walsh's profile →
Citations per field
00.5×4.6×
William Walsh · 1×
Citations per year

Countries citing papers authored by Ruth Maya

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20253
2
Role of infectious agents in systemic rheumatic diseases.
200871
3 200725
4 200678
5 200291
6
ATM-dependent phosphorylation of Mdm2 on serine 395: role in p53 activation by DNA damagebreakdown →
2001514
7
Requirement for Mdm2 in the survival effects of Bcr-Abl and interleukin 3 in hematopoietic cells.
200132
8 200036
9 2000113
10 2000458
11 1999289
12 1999334
13
Mdm2 promotes the rapid degradation of p53breakdown →
19973694

About Ruth Maya

Ruth Maya is a scholar working on Biotechnology, Complementary and Manual Therapy, Oncology, Molecular Biology and Hematology, having authored 13 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Cancer Research and Treatments (5 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Epigenetics and DNA Methylation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA modifications and cancer (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Oncology (4.0k citations), Biotechnology (880 citations), Molecular Biology (4.6k citations), Cancer Research (965 citations) and Cell Biology (630 citations). Ruth Maya has collaborated with scholars based in Israel, United States and Iran. Frequent co-authors include Moshe Oren, Ygal Haupt, Dganit Shkedy, Yosef Shiloh, Arnold J. Levine, Uri Alon, Lee A. Segel, Ruth Lev Bar‐Or, Tanya Gottlieb and Rami Khosravi. Their work appears in journals such as Oncogene, Proceedings of the National Academy of Sciences, Genes & Development, Journal of Translational Medicine and The International Journal of Biochemistry & Cell Biology.

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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