Dorit Lev

11.5k citations
195 papers · 5.4k · h-index 40

Impact in

Papers in

Dorit Lev

190 papers receiving 5.1k citations

Peers

Dorit Lev
Comparison fields: 5 of 124
  • Pediatrics, Perinatology and Child Health 1.5k
  • Clinical Biochemistry 403
  • Genetics 959
  • Cellular and Molecular Neuroscience 610
  • Psychiatry and Mental health 406
Replace B. Chabrol with:
B. Chabrol France
Brian Harding United Kingdom
G Ponsot France
Helena Pihko Finland
Marc De Braekeleer France
Willy Lissens Belgium
Rachel Straussberg Israel
Françoise Goutières France
P. Landrieu France
Paolo Balestri Italy
Dorit Lev relative to B. Chabrol France B. Chabrol's profile →
Citations per field
00.5×2×3×3.7×
B. Chabrol · 1×
Citations per year

Countries citing papers authored by Dorit Lev

Since Specialization
Citations

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

Fields of papers citing papers by Dorit Lev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dorit Lev, 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 Dorit Lev Line = papers co-authored together Dorit Lev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001284
2 2003249
3 2001221
4
Fetal cytomegalovirus infection of the brain: the spectrum of sonographic findings.
2003170
5 2004139
6 2012138
7 2010126
8 2014122
9 200989
10 200385
11 200684
12 200183
13 201582
14 200481
15 200779
16 200275
17 200471
18 201069
19 201568
20 201462

About Dorit Lev

Dorit Lev is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 195 papers that have together received 5.4k indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (48 papers), Mitochondrial Function and Pathology (31 papers), Prenatal Screening and Diagnostics (22 papers), Metabolism and Genetic Disorders (22 papers), ATP Synthase and ATPases Research (15 papers), RNA regulation and disease (11 papers), Neonatal and fetal brain pathology (11 papers) and Genetics and Neurodevelopmental Disorders (11 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.5k citations), Clinical Biochemistry (403 citations), Genetics (959 citations), Cellular and Molecular Neuroscience (610 citations) and Psychiatry and Mental health (406 citations). Dorit Lev has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Tally Lerman‐Sagie, G. Malinger, Esther Leshinsky‐Silver, Liat Ben‐Sira, Nathan Watemberg, Moise L. Levy, Lubov Blumkin, Maureen Rogers, Murali Chintagumpala and Sharon E. Plon. Their work appears in journals such as European Journal of Paediatric Neurology, Ultrasound in Obstetrics and Gynecology, Journal of Child Neurology, Prenatal Diagnosis 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.

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