Judit Ribas

1.4k total citations
25 papers, 1.2k citations indexed

About

Judit Ribas is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Judit Ribas has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Judit Ribas's work include Cell death mechanisms and regulation (10 papers), Cancer-related Molecular Pathways (8 papers) and MicroRNA in disease regulation (6 papers). Judit Ribas is often cited by papers focused on Cell death mechanisms and regulation (10 papers), Cancer-related Molecular Pathways (8 papers) and MicroRNA in disease regulation (6 papers). Judit Ribas collaborates with scholars based in Spain, United States and France. Judit Ribas's co-authors include Shawn E. Lupold, Jacint Boix, Xiaohua Ni, Wasim H. Chowdhury, Srinivasan Yegnasubramanian, Joshua T. Mendell, Tarana A. Kudrolli, Michael C. Haffner, Ron Rodriguez and Amirali Salmasi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Judit Ribas

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Judit Ribas Spain 16 903 607 135 125 83 25 1.2k
Phuong Nguyen United States 7 532 0.6× 354 0.6× 129 1.0× 159 1.3× 49 0.6× 10 728
Liqin Du United States 20 1.1k 1.2× 885 1.5× 86 0.6× 252 2.0× 110 1.3× 51 1.5k
Julia Bárdos United Kingdom 10 536 0.6× 366 0.6× 60 0.4× 179 1.4× 61 0.7× 13 777
Murali K. Ravoori United States 12 455 0.5× 204 0.3× 87 0.6× 198 1.6× 40 0.5× 20 734
Lucía Cordeu Spain 18 970 1.1× 476 0.8× 38 0.3× 107 0.9× 241 2.9× 23 1.4k
Marco Cirò Italy 10 859 1.0× 225 0.4× 90 0.7× 320 2.6× 28 0.3× 11 1.1k
Sherry A. Weppler Netherlands 10 504 0.6× 307 0.5× 80 0.6× 144 1.2× 29 0.3× 11 836
Shaowu Zou China 9 604 0.7× 246 0.4× 73 0.5× 110 0.9× 32 0.4× 12 836
Yeonjoo Jung South Korea 18 689 0.8× 182 0.3× 156 1.2× 241 1.9× 23 0.3× 26 953
Ashleigh Pulkoski‐Gross United States 7 512 0.6× 463 0.8× 74 0.5× 323 2.6× 32 0.4× 8 908

Countries citing papers authored by Judit Ribas

Since Specialization
Citations

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

Fields of papers citing papers by Judit Ribas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Ribas

This figure shows the co-authorship network connecting the top 25 collaborators of Judit Ribas. A scholar is included among the top collaborators of Judit Ribas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Judit Ribas. Judit Ribas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sánchez‐Osuna, María, Alejandro Sánchez‐Chardi, Salvio Suárez–García, et al.. (2021). Gossypol Treatment Restores Insufficient Apoptotic Function of DFF40/CAD in Human Glioblastoma Cells. Cancers. 13(21). 5579–5579. 3 indexed citations
2.
Yuste, Vı́ctor J., et al.. (2020). Cell Death Triggered by the Autophagy Inhibitory Drug 3-Methyladenine in Growing Conditions Proceeds With DNA Damage. Frontiers in Pharmacology. 11. 580343–580343. 35 indexed citations
3.
Yuste, Vı́ctor J., et al.. (2015). Autophagy exacerbates caspase-dependent apoptotic cell death after short times of starvation. Biochemical Pharmacology. 98(4). 573–586. 16 indexed citations
4.
Sánchez‐Osuna, María, et al.. (2015). An Early and Robust Activation of Caspases Heads Cells for a Regulated Form of Necrotic-like Cell Death. Journal of Biological Chemistry. 290(34). 20841–20855. 18 indexed citations
5.
Ribas, Judit, et al.. (2014). Cell death induced by 2-phenylethynesulfonamide uncovers a pro-survival function of BAX. Cancer Letters. 354(1). 115–121. 5 indexed citations
6.
Ribas, Judit, et al.. (2014). Pharmacological Modulation of Reactive Oxygen Species in Cancer Treatment. Current Drug Targets. 16(1). 31–37. 6 indexed citations
7.
Yuste, Vı́ctor J., et al.. (2014). 2-Phenylethynesulfonamide (PES) uncovers a necrotic process regulated by oxidative stress and p53. Biochemical Pharmacology. 91(3). 301–311. 10 indexed citations
8.
Ribas, Judit, Xiaohua Ni, Mark Castanares, et al.. (2012). A novel source for miR-21 expression through the alternative polyadenylation of VMP1 gene transcripts. Nucleic Acids Research. 40(14). 6821–6833. 92 indexed citations
9.
Ni, Xiaohua, Yonggang Zhang, Judit Ribas, et al.. (2011). Prostate-targeted radiosensitization via aptamer-shRNA chimeras in human tumor xenografts. Journal of Clinical Investigation. 121(6). 2383–2390. 119 indexed citations
10.
Cosialls, Ana M., et al.. (2011). Transcriptional modulation of apoptosis regulators by roscovitine and related compounds. APOPTOSIS. 16(7). 660–670. 15 indexed citations
11.
Ni, Xiaohua, Yonggang Zhang, Judit Ribas, et al.. (2011). Abstract 5387: Prostate-targeted radiosensitization via aptamer-shRNA chimeras. Cancer Research. 71(8_Supplement). 5387–5387. 1 indexed citations
12.
Dou, Tonghai, Qihan Wu, Xin Chen, et al.. (2010). A polymorphism of microRNA196a genome region was associated with decreased risk of glioma in Chinese population. Journal of Cancer Research and Clinical Oncology. 136(12). 1853–1859. 72 indexed citations
13.
Höti, Naseruddin, Wasim H. Chowdhury, Judit Ribas, et al.. (2010). Armoring CRAds with p21/Waf-1 shRNAs: the next generation of oncolytic adenoviruses. Cancer Gene Therapy. 17(8). 585–597. 12 indexed citations
14.
Ribas, Judit & Shawn E. Lupold. (2010). The transcriptional regulation of miR-21, its multiple transcripts and their implication in prostate cancer. Cell Cycle. 9(5). 923–929. 99 indexed citations
15.
Chen, Juxiang, Qihan Wu, Yicheng Lu, et al.. (2010). SPP1 promoter polymorphisms and glioma risk in a Chinese Han population. Journal of Human Genetics. 55(7). 456–461. 19 indexed citations
16.
Ribas, Judit, Xiaohua Ni, Michael C. Haffner, et al.. (2009). miR-21: An Androgen Receptor–Regulated MicroRNA that Promotes Hormone-Dependent and Hormone-Independent Prostate Cancer Growth. Cancer Research. 69(18). 7165–7169. 350 indexed citations
17.
Ribas, Judit, et al.. (2008). 7-Bromoindirubin-3′-oxime uncovers a serine protease-mediated paradigm of necrotic cell death. Biochemical Pharmacology. 76(1). 39–52. 21 indexed citations
18.
Mera, Raquel M. Melero-Fernández de, et al.. (2008). BAX and BAK proteins are required for cyclin-dependent kinase inhibitory drugs to cause apoptosis. Molecular Cancer Therapeutics. 7(12). 3800–3806. 14 indexed citations
19.
Ribas, Judit, Xavier Gómez‐Arbonés, & Jacint Boix. (2005). Caspase 8/10 are not mediating apoptosis in neuroblastoma cells treated with CDK inhibitory drugs. European Journal of Pharmacology. 524(1-3). 49–52. 15 indexed citations
20.

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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