Iris Lavon

3.0k citations
46 papers · 2.5k · 1 hit paper · h-index 22

Impact in

Papers in

Iris Lavon

46 papers receiving 2.5k citations

Iris Lavon's Hit Papers

Identification of the receptor component of the IκBα–ubiquitin ligase 1998 · 576 citations
5760+9+18Years since publication100200300400500

Peers

Iris Lavon
Comparison fields: 5 of 104
  • Developmental Neuroscience 289
  • Genetics 555
  • Cancer Research 707
  • Neurology 259
  • Immunology 369
Replace Chun Cheng with:
Chun Cheng China
Oliver Renner Spain
Min Zheng China
Yoshio Bandô Japan
Aiguo Shen China
Paweł Dobrzański United States
Robert S. Freeman United States
Bernadette Kálmán United States
Dominic C.H. Ng Australia
Timour Prozorovski Germany
Iris Lavon relative to Chun Cheng China Chun Cheng's profile →
Citations per field
00.5×3.3×
Chun Cheng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Iris Lavon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iris Lavon Line = papers co-authored together Iris Lavon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of the receptor component of the IκBα–ubiquitin ligase
Hit paper breakdown →
1998576
2 2006202
3 2005178
4 2000149
5 2006147
6 2010142
7
Screening for five mutations detects 97% of cystic fibrosis (CF) chromosomes and predicts a carrier frequency of 1:29 in the Jewish Ashkenazi population.
1992125
8 2010119
9 2007113
10 2006113
11 2008112
12 201859
13 201654
14 200646
15 200737
16 201931
17 201630
18 200327
19 202227
20 201227

About Iris Lavon

Iris Lavon is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Neurology, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Multiple Sclerosis Research Studies (8 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Prostate Cancer Treatment and Research (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Developmental Neuroscience (289 citations), Genetics (555 citations), Cancer Research (707 citations), Neurology (259 citations) and Immunology (369 citations). Iris Lavon has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Yinon Ben‐Neriah, Sharon Amit, Bracha Zelikovitch, Jens Andersen, Anthony M. Manning, Avraham Yaron, Matti Davis, Ada Hatzubai, Frank Mercurio and Matthias Mann. Their work appears in journals such as Neuro-Oncology, International Journal of Molecular Sciences, PLoS ONE, Journal of Neuro-Oncology and Glia.

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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