A. Lev‐Tov

2.2k citations
43 papers · 1.7k indexed · h-index 25

Impact in

Papers in

A. Lev‐Tov

42 papers receiving 1.7k citations

Peers

A. Lev‐Tov
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 405
  • Cellular and Molecular Neuroscience 785
  • Cell Biology 527
  • Developmental Neuroscience 107
  • Cognitive Neuroscience 442
Replace Brian R. Noga with:
Brian R. Noga Canada
Frédéric Brocard France
S.J. Shefchyk Canada
Brian J. Schmidt Canada
Ingela Hammar Sweden
Brent Fedirchuk Canada
Didier Morin France
S. Lindström Sweden
Kimberly J. Dougherty United States
Simon Gosgnach Canada
A. Lev‐Tov relative to Brian R. Noga Canada Brian R. Noga's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Lev‐Tov

Since Specialization
Citations

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

Fields of papers citing papers by A. Lev‐Tov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20168
2 201418
3 201417
4 201320
5 201032
6 201049
7 200845
8 200750
9 200730
10 200025
11 1997198
12 199536
13 19935
14 1992134
15 199055
16 19901
17 19886
18 198852
19 198713
20 19838

About A. Lev‐Tov

A. Lev‐Tov is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Cell Biology, Cognitive Neuroscience and Developmental Biology, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Neuroscience of respiration and sleep (17 papers), Zebrafish Biomedical Research Applications (14 papers), Ion channel regulation and function (12 papers), Sleep and Wakefulness Research (8 papers), Neuroscience and Neural Engineering (7 papers), Spinal Cord Injury Research (6 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (405 citations), Cellular and Molecular Neuroscience (785 citations), Cell Biology (527 citations), Developmental Neuroscience (107 citations) and Cognitive Neuroscience (442 citations). A. Lev‐Tov has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Robert E. Burke, R Rahamimoff, James W. Fleshman, Michael J. O’Donovan, Martin J. Pinter, Halina Meiri, Michael Tal, Dvir Blivis, Lili Anglister and Ido Strauss. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Brain Research, The Journal of Physiology and The Journal of Comparative Neurology.

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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