Iris Alroy

4.6k total citations · 3 hit papers
27 papers, 3.8k citations indexed

About

Iris Alroy is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Iris Alroy has authored 27 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Iris Alroy's work include HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Iris Alroy is often cited by papers focused on HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Iris Alroy collaborates with scholars based in Israel, United States and Germany. Iris Alroy's co-authors include Yosef Yarden, Gil Levkowitz, Hadassa Waterman, Leonard P. Freedman, Sara Lavi, Ronit Pinkas‐Kramarski, Terri L. Towers, Rony Seger, Yuval Reiss and Lior Soussan and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Iris Alroy

27 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ubiquitin Ligase Activity and Tyrosine Phosphorylation Underlie Suppression of Growth Factor Signaling by c-Cbl/Sli-1

1999 823 citations Gil Levkowitz, Hadassa Waterman et al. Molecular Cell profile →
Diversification of Neu differentiation factor and epidermal growth factor signaling by combinatorial receptor interactions.

1996 645 citations Ronit Pinkas‐Kramarski, Lior Soussan et al. The EMBO Journal profile →
The ErbB signaling network in embryogenesis and oncogenesis: signal diversification through combinatorial ligand‐receptor interactions

1997 608 citations Iris Alroy, Yosef Yarden FEBS Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iris Alroy Israel	19	2.2k	1.7k	833	528	444	27	3.8k
David J. Riese United States	31	2.1k 0.9×	2.4k 1.4×	1.1k 1.3×	352 0.7×	385 0.9×	53	4.1k
Norbert Prenzel Germany	9	2.2k 1.0×	1.3k 0.8×	421 0.5×	325 0.6×	327 0.7×	9	3.6k
Duanzhi Wen United States	22	2.2k 1.0×	1.7k 1.0×	765 0.9×	398 0.8×	317 0.7×	27	4.4k
Esther Zwick Germany	11	2.3k 1.0×	1.2k 0.7×	390 0.5×	297 0.6×	350 0.8×	12	3.7k
Daniel Afar United States	33	2.0k 0.9×	1.1k 0.6×	429 0.5×	266 0.5×	835 1.9×	68	4.0k
Christian Wallasch Germany	11	2.3k 1.0×	1.1k 0.6×	466 0.6×	340 0.6×	369 0.8×	14	3.5k
Diana Graus-Porta Switzerland	18	2.2k 1.0×	2.4k 1.4×	1.5k 1.8×	338 0.6×	236 0.5×	18	4.1k
Matthew I. Wahl United States	29	3.3k 1.5×	845 0.5×	550 0.7×	683 1.3×	1.7k 3.8×	32	5.3k
Joan Levy United States	28	2.6k 1.2×	955 0.6×	197 0.2×	545 1.0×	487 1.1×	58	3.6k
Laura Beguinot United States	27	2.5k 1.1×	1.2k 0.7×	704 0.8×	903 1.7×	365 0.8×	46	3.5k

Countries citing papers authored by Iris Alroy

Since Specialization

Citations

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

Fields of papers citing papers by Iris Alroy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Alroy

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Alroy. A scholar is included among the top collaborators of Iris Alroy 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 Iris Alroy. Iris Alroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alroy, Iris, et al.. (2023). Virtual plates: Getting the best out of high content screens. SLAS DISCOVERY. 29(1). 77–85. 1 indexed citations

Alroy, Iris, et al.. (2020). Expanding small-molecule target space to mRNA translation regulation. Drug Discovery Today. 26(3). 786–793. 2 indexed citations

Crawford, Daniel K., et al.. (2020). ELX-02 Generates Protein via Premature Stop Codon Read-Through without Inducing Native Stop Codon Read-Through Proteins. Journal of Pharmacology and Experimental Therapeutics. 374(2). 264–272. 38 indexed citations

Chu, Lee Lee, Iris Alroy, Rachel Corsini, et al.. (2019). The novel aminoglycoside, ELX-02, permits CTNSW138X translational read-through and restores lysosomal cystine efflux in cystinosis. PLoS ONE. 14(12). e0223954–e0223954. 28 indexed citations

Rowe, Steven M., Venkateshwar Mutyam, Iris Alroy, & Pedro E. Huertas. (2018). WS01.3 Translational read-through of CFTR nonsense mutations and inducement of cystic fibrosis transmembrane conductance regulator (CFTR) function by ELX-02 treatment. Journal of Cystic Fibrosis. 17. S2–S2. 3 indexed citations

Alroy, Iris, et al.. (2018). Translational read-through of CTNS nonsense mutations and attenuation of CTNS nonsense-mediated mRNA decay by ELX-02 treatment. Molecular Genetics and Metabolism. 123(2). S18–S18. 3 indexed citations

Gratzke, Christian, Tomi Streng, Christian G. Stief, et al.. (2010). Effects of Cannabinor, a Novel Selective Cannabinoid 2 Receptor Agonist, on Bladder Function in Normal Rats. European Urology. 57(6). 1093–1100. 50 indexed citations

Alchanati, Iris, Shreeram C. Nallar, Peng Sun, et al.. (2006). A proteomic analysis reveals the loss of expression of the cell death regulatory gene GRIM-19 in human renal cell carcinomas. Oncogene. 25(54). 7138–7147. 76 indexed citations

Amit, Ido, Menachem Katz, Yaara Zwang, et al.. (2004). Tal, a Tsg101-specific E3 ubiquitin ligase, regulates receptor endocytosis and retrovirus budding. Genes & Development. 18(14). 1737–1752. 129 indexed citations

10.

Bao, Jing, Iris Alroy, Hadassa Waterman, et al.. (2000). Threonine Phosphorylation Diverts Internalized Epidermal Growth Factor Receptors from a Degradative Pathway to the Recycling Endosome. Journal of Biological Chemistry. 275(34). 26178–26186. 148 indexed citations

11.

Levkowitz, Gil, Hadassa Waterman, Seth A. Ettenberg, et al.. (1999). Ubiquitin Ligase Activity and Tyrosine Phosphorylation Underlie Suppression of Growth Factor Signaling by c-Cbl/Sli-1. Molecular Cell. 4(6). 1029–1040. 823 indexed citations breakdown →

12.

Waterman, Hadassa, Gil Levkowitz, Iris Alroy, & Yosef Yarden. (1999). The RING Finger of c-Cbl Mediates Desensitization of the Epidermal Growth Factor Receptor. Journal of Biological Chemistry. 274(32). 22151–22154. 256 indexed citations

13.

Alroy, Iris, Lior Soussan, Rony Seger, & Yosef Yarden. (1999). Neu Differentiation Factor Stimulates Phosphorylation and Activation of the Sp1 Transcription Factor. Molecular and Cellular Biology. 19(3). 1961–1972. 81 indexed citations

14.

Pinkas‐Kramarski, Ronit, Maya Shelly, Ljuba Lyass, et al.. (1998). ErbB Tyrosine Kinases and the Two Neuregulin Families Constitute a Ligand-Receptor Network. Molecular and Cellular Biology. 18(10). 6090–6101. 113 indexed citations

15.

Pinkas‐Kramarski, Ronit, Iris Alroy, & Yosef Yarden. (1997). ErbB Receptors and EGF-like Ligands: Cell Lineage Determination and Oncogenesis Through Combinatorial Signaling. Journal of Mammary Gland Biology and Neoplasia. 2(2). 97–107. 94 indexed citations

16.

Alroy, Iris & Yosef Yarden. (1997). The ErbB signaling network in embryogenesis and oncogenesis: signal diversification through combinatorial ligand‐receptor interactions. FEBS Letters. 410(1). 83–86. 608 indexed citations breakdown →

17.

Pinkas‐Kramarski, Ronit, Raya Eilam, Iris Alroy, et al.. (1997). Differential expression of NDF/neuregulin receptors ErbB-3 and ErbB-4 and involvement in inhibition of neuronal differentiation. Oncogene. 15(23). 2803–2815. 106 indexed citations

18.

Pinkas‐Kramarski, Ronit, Lior Soussan, Hayley R. Waterman, et al.. (1996). Diversification of Neu differentiation factor and epidermal growth factor signaling by combinatorial receptor interactions.. The EMBO Journal. 15(10). 2452–2467. 645 indexed citations breakdown →

19.

Alroy, Iris, Terri L. Towers, & Leonard P. Freedman. (1995). Transcriptional Repression of the Interleukin-2 Gene by Vitamin D ₃ : Direct Inhibition of NFATp/AP-1 Complex Formation by a Nuclear Hormone Receptor. Molecular and Cellular Biology. 15(10). 5789–5799. 331 indexed citations

20.

Xu, Wei, et al.. (1993). Stereochemistry of Specific Steroid Receptor-DNA Interactions. Cold Spring Harbor Symposia on Quantitative Biology. 58(0). 133–139. 9 indexed citations

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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