Irit Lax
- Cell Biology top 0.2%
- Molecular Biology top 0.5%
- Fibroblast Growth Factor Research 24
- Glycosylation and Glycoproteins Research 17
- Protein Tyrosine Phosphatases 10
- Protein Kinase Regulation and GTPase Signaling 8
- Chemical Synthesis and Analysis 8
- Oncology top 0.5%
- HER2/EGFR in Cancer Research 15
- Immunology and Allergy top 1%
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- Monoclonal and Polyclonal Antibodies Research 30
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- Mast cells and histamine 8
- Co-authors
- Joseph SchlessingerVeraragavan P. EswarakumarYaron R. HadariMark A. LemmonTowia A. LibermannHaruhiko KouharaRichard KrisTaly R. Spivak-Kroizman
- Journals
- Proceedings of the National Academy of Sciences (24 papers)Molecular and Cellular Biology (10 papers)Journal of Biological Chemistry (9 papers)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Irit Lax
79 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cell Biology 2.3k
- Molecular Biology 8.5k
- Oncology 2.8k
- Immunology and Allergy 588
- Radiology, Nuclear Medicine and Imaging 1.8k
Countries citing papers authored by Irit Lax
This map shows the geographic impact of Irit Lax'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 Irit Lax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irit Lax more than expected).
Fields of papers citing papers by Irit Lax
This network shows the impact of papers produced by Irit Lax. 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 Irit Lax. The network helps show where Irit Lax may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Irit Lax, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 22 | |
| 4 | 2018 | 173 | |
| 5 | 2014 | 31 | |
| 6 | 2014 | 27 | |
| 7 | 2007 | 267 | |
| 8 | Cellular signaling by fibroblast growth factor receptorsbreakdown → | 2005 | 1524 |
| 9 | 2004 | 74 | |
| 10 | 2004 | 60 | |
| 11 | 2004 | 155 | |
| 12 | 2002 | 127 | |
| 13 | 1998 | 276 | |
| 14 | 1998 | 72 | |
| 15 | A Lipid-Anchored Grb2-Binding Protein That Links FGF-Receptor Activation to the Ras/MAPK Signaling Pathwaybreakdown → | 1997 | 734 |
| 16 | 1995 | 409 | |
| 17 | 1992 | 95 | |
| 18 | 1990 | 23 | |
| 19 | 1989 | 126 | |
| 20 | 1988 | 48 |
About Irit Lax
Irit Lax is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Molecular Biology, having authored 80 papers that have together received 11.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (30 papers), Fibroblast Growth Factor Research (24 papers), Glycosylation and Glycoproteins Research (17 papers), HER2/EGFR in Cancer Research (15 papers), Protein Tyrosine Phosphatases (10 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Chemical Synthesis and Analysis (8 papers) and Mast cells and histamine (8 papers). The work is most often cited by research in Cell Biology (2.3k citations), Molecular Biology (8.5k citations) and Oncology (2.8k citations). Irit Lax has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Joseph Schlessinger, Veraragavan P. Eswarakumar, Yaron R. Hadari, Mark A. Lemmon, Towia A. Libermann, Haruhiko Kouhara, Richard Kris, Taly R. Spivak-Kroizman, Noriko Gotoh and A. Ullrich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Biological Chemistry, Cell and Nature.
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.