Iris Alroy
Impact in
- Oncology top 2%
- HER2/EGFR in Cancer Research
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
- Oncology 9
- HER2/EGFR in Cancer Research 8
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- Cellular transport and secretion 2
- Co-authors
- Yosef Yarden (10 shared papers)Gil Levkowitz (4 shared papers)Hadassa Waterman (3 shared papers)Leonard P. Freedman (2 shared papers)Sara Lavi (3 shared papers)Ronit Pinkas‐Kramarski (4 shared papers)Terri L. Towers (1 shared paper)Rony Seger (3 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Oncogene (2 papers)Journal of Biological Chemistry (2 papers)Antibodies (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Iris Alroy
26 papers receiving 3.7k citations
Iris Alroy's Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 1.5k
- Cell Biology 378
- Developmental Neuroscience 64
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 306
Countries citing papers authored by Iris Alroy
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
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-authors
The 25 scholars most cited alongside Iris Alroy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ubiquitin Ligase Activity and Tyrosine Phosphorylation Underlie Suppression of Growth Factor Signaling by c-Cbl/Sli-1 Hit paper breakdown → | 1999 | 863 |
| 2 | 1996 | 670 | |
| 3 | 1997 | 629 | |
| 4 | 1995 | 360 | |
| 5 | 1999 | 260 | |
| 6 | 2000 | 152 | |
| 7 | 1998 | 119 | |
| 8 | 1997 | 112 | |
| 9 | 1997 | 102 | |
| 10 | 1999 | 82 | |
| 11 | 2006 | 79 | |
| 12 | 2005 | 70 | |
| 13 | 2008 | 70 | |
| 14 | 1992 | 52 | |
| 15 | 2010 | 52 | |
| 16 | 2020 | 43 | |
| 17 | 2007 | 39 | |
| 18 | 2019 | 31 | |
| 19 | 2010 | 30 | |
| 20 | 2000 | 14 |
About Iris Alroy
Iris Alroy is a scholar working on Oncology, Cell Biology, Urology, Molecular Biology and Pharmacology, having authored 26 papers that have together received 3.9k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), RNA and protein synthesis mechanisms (3 papers), Urinary Bladder and Prostate Research (2 papers), Cellular transport and secretion (2 papers), Ubiquitin and proteasome pathways (2 papers), Cannabis and Cannabinoid Research (2 papers), Signaling Pathways in Disease (1 paper) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Oncology (1.5k citations), Cell Biology (378 citations), Developmental Neuroscience (64 citations), Molecular Biology (1.2k citations) and Pathology and Forensic Medicine (306 citations). Iris Alroy has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yosef Yarden, Gil Levkowitz, Hadassa Waterman, Leonard P. Freedman, Sara Lavi, Ronit Pinkas‐Kramarski, Terri L. Towers, Rony Seger, Lior Soussan and Yuval Reiss. Their work appears in journals such as Molecular and Cellular Biology, Oncogene, Journal of Biological Chemistry, Antibodies and Molecular Genetics and Metabolism.
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.