Iris Lavon

2.9k total citations · 1 hit paper
45 papers, 2.4k citations indexed

About

Iris Lavon is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Iris Lavon has authored 45 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Cancer Research and 12 papers in Genetics. Recurrent topics in Iris Lavon's work include Glioma Diagnosis and Treatment (10 papers), Multiple Sclerosis Research Studies (8 papers) and MicroRNA in disease regulation (8 papers). Iris Lavon is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), Multiple Sclerosis Research Studies (8 papers) and MicroRNA in disease regulation (8 papers). Iris Lavon collaborates with scholars based in Israel, United States and Australia. Iris Lavon's co-authors include Yinon Ben‐Neriah, Sharon Amit, Bracha Zelikovitch, Matthias Mann, Anthony M. Manning, Frank Mercurio, Avraham Yaron, Ada Hatzubai, Matti Davis and Jens Andersen and has published in prestigious journals such as Nature, Nature Medicine and PLoS ONE.

In The Last Decade

Iris Lavon

44 papers receiving 2.4k citations

Hit Papers

Identification of the receptor component of the IκBα–ubiq... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Lavon Israel 21 1.3k 749 562 392 329 45 2.4k
Chun Cheng China 29 1.6k 1.3× 431 0.6× 209 0.4× 403 1.0× 447 1.4× 123 2.6k
Oliver Renner Spain 19 1.8k 1.4× 478 0.6× 139 0.2× 223 0.6× 429 1.3× 26 3.0k
Jonathan R. Whitfield United Kingdom 19 3.0k 2.3× 551 0.7× 137 0.2× 334 0.9× 897 2.7× 34 4.0k
Paweł Dobrzański United States 22 1.2k 0.9× 747 1.0× 240 0.4× 846 2.2× 543 1.7× 40 2.6k
Aiguo Shen China 32 2.3k 1.8× 620 0.8× 100 0.2× 475 1.2× 683 2.1× 179 3.6k
Susan E. Nozell United States 30 1.5k 1.1× 562 0.8× 202 0.4× 539 1.4× 791 2.4× 44 2.7k
Liping Qian China 25 1.3k 1.0× 266 0.4× 132 0.2× 563 1.4× 439 1.3× 59 2.3k
Dominique Joubert France 29 1.4k 1.1× 353 0.5× 116 0.2× 119 0.3× 443 1.3× 68 2.4k
Maria Z. Kounnas United States 25 1.4k 1.1× 719 1.0× 137 0.2× 439 1.1× 535 1.6× 38 3.4k
Brigitte Sola France 28 1.3k 1.0× 209 0.3× 187 0.3× 368 0.9× 485 1.5× 101 2.2k

Countries citing papers authored by Iris Lavon

Since Specialization
Citations

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

Fields of papers citing papers by Iris Lavon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Lavon

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Lavon. A scholar is included among the top collaborators of Iris Lavon 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 Lavon. Iris Lavon 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.
Maoz, Myriam, Omer Or, Mohammad Adileh, et al.. (2023). Rapid Classification of Sarcomas Using Methylation Fingerprint: A Pilot Study. Cancers. 15(16). 4168–4168. 3 indexed citations
2.
Larush, Liraz, et al.. (2023). Intracranial Assessment of Androgen Receptor Antagonists in Mice Bearing Human Glioblastoma Implants. International Journal of Molecular Sciences. 25(1). 332–332. 3 indexed citations
3.
Lavon, Iris, et al.. (2019). Blood Levels of Co-inhibitory-Receptors: A Biomarker of Disease Prognosis in Multiple Sclerosis. Frontiers in Immunology. 10. 835–835. 29 indexed citations
4.
Brill, Livnat, Iris Lavon, & Adi Vaknin‐Dembinsky. (2019). Foxp3+ regulatory T cells expression in neuromyelitis optica spectrum disorders. Multiple Sclerosis and Related Disorders. 30. 114–118. 16 indexed citations
5.
Lavon, Iris, et al.. (2019). QKI-V5 is downregulated in CNS inflammatory demyelinating diseases. Multiple Sclerosis and Related Disorders. 39. 101881–101881. 8 indexed citations
6.
Brill, Livnat, Iris Lavon, & Adi Vaknin‐Dembinsky. (2018). Reduced expression of the IL7Ra signaling pathway in Neuromyelitis optica. Journal of Neuroimmunology. 324. 81–89. 4 indexed citations
7.
Shahar, Tal, Tamar Canello, Ofira Einstein, et al.. (2016). Expression level of miRNAs on chromosome 14q32.31 region correlates with tumor aggressiveness and survival of glioblastoma patients. Journal of Neuro-Oncology. 130(3). 413–422. 18 indexed citations
8.
Fainstein, Nina, et al.. (2014). Signaling through three chemokine receptors triggers the migration of transplanted neural precursor cells in a model of multiple sclerosis. Stem Cell Research. 13(2). 227–239. 19 indexed citations
9.
Fainstein, Nina, et al.. (2012). Time limited immunomodulatory functions of transplanted neural precursor cells. Glia. 61(2). 140–149. 27 indexed citations
10.
Lavon, Iris, et al.. (2010). Serum DNA can define tumor-specific genetic and epigenetic markers in gliomas of various grades. Neuro-Oncology. 12(2). 173–180. 137 indexed citations
11.
Lavon, Iris, Ofira Einstein, Nina Fainstein, et al.. (2010). Gliomas display a microRNA expression profile reminiscent of neural precursor cells. Neuro-Oncology. 12(5). 422–433. 113 indexed citations
12.
13.
Einstein, Ofira, Nina Fainstein, Ilan Vaknin, et al.. (2006). Neural precursors attenuate autoimmune encephalomyelitis by peripheral immunosuppression. Annals of Neurology. 61(3). 209–218. 187 indexed citations
14.
Bokstein, Felix, et al.. (2006). Temozolomide treatment for newly diagnosed anaplastic oligodendrogliomas: a clinical efficacy trial. Journal of Neuro-Oncology. 79(2). 153–157. 43 indexed citations
15.
Einstein, Ofira, Nikolaos Grigoriadis, Rachel Mizrachi‐Kol, et al.. (2006). Transplanted neural precursor cells reduce brain inflammation to attenuate chronic experimental autoimmune encephalomyelitis. Experimental Neurology. 198(2). 275–284. 142 indexed citations
16.
Levin, Nathan W., Iris Lavon, Dana Fuchs, et al.. (2006). Progressive low‐grade oligodendrogliomas. Cancer. 106(8). 1759–1765. 106 indexed citations
17.
Nizri‏, Eran, et al.. (2005). Anti-inflammatory properties of cholinergic up-regulation: A new role for acetylcholinesterase inhibitors. Neuropharmacology. 50(5). 540–547. 172 indexed citations
18.
Lavon, Iris, et al.. (2003). A Novel Synthetic Cannabinoid Derivative Inhibits Inflammatory Liver Damage via Negative Cytokine Regulation. Molecular Pharmacology. 64(6). 1334–1341. 26 indexed citations
19.
Yaron, Avraham, Ada Hatzubai, Matti Davis, et al.. (1998). Identification of the receptor component of the IκBα–ubiquitin ligase. Nature. 396(6711). 590–594. 557 indexed citations breakdown →
20.
Abeliovich, Dvorah, Iris Lavon, Israela Lerer, et al.. (1992). Screening for five mutations detects 97% of cystic fibrosis (CF) chromosomes and predicts a carrier frequency of 1:29 in the Jewish Ashkenazi population.. PubMed. 51(5). 951–6. 114 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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