D. Attar-Lèvy

1.8k citations
14 papers · 1.4k indexed · h-index 12

D. Attar-Lèvy

14 papers receiving 1.4k citations

Peers

D. Attar-Lèvy
Comparison fields: 5 of 81
  • Biological Psychiatry 97
  • Psychiatry and Mental health 574
  • Cognitive Neuroscience 628
  • Cellular and Molecular Neuroscience 441
  • Pharmacology 314
Replace A Féline with:
A Féline France
Tetsuya Ichimiya Japan
Martina Ballmaier United States
Shahryar Rafi‐Tari Canada
Marie‐Laure Paillère Martinot France
Jaana Kajander Finland
Hisanobu Kaiya Japan
Martin A. Weiler United States
M.A. Reveley United Kingdom
Gene Jack Wang United States
D. Attar-Lèvy relative to A Féline France A Féline's profile →
Citations per field
00.5×1.5×2.3×
A Féline · 1×
Citations per year

Countries citing papers authored by D. Attar-Lèvy

Since Specialization
Citations

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

Fields of papers citing papers by D. Attar-Lèvy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Attar-Lèvy. 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 D. Attar-Lèvy. The network helps show where D. Attar-Lèvy may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 2002123
2 2001154
3 200058
4 200083
5 199991
6
[Seasonal depression].
19991
7 199893
8 199860
9 199781
10 199747
11 1997125
12 1993136
13
[Seasonal affective disorders, a new clinical category].
19902
14 1990384

About D. Attar-Lèvy

D. Attar-Lèvy is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience and Pharmacology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Schizophrenia research and treatment (5 papers), Treatment of Major Depression (3 papers), Circadian rhythm and melatonin (2 papers), Neuroscience and Music Perception (2 papers), Bipolar Disorder and Treatment (2 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Biological Psychiatry (97 citations), Psychiatry and Mental health (574 citations), Cognitive Neuroscience (628 citations), Cellular and Molecular Neuroscience (441 citations) and Pharmacology (314 citations). D. Attar-Lèvy has collaborated with scholars based in France and Israel. Frequent co-authors include Jean‐Luc Martinot, A Féline, Bernard Mazoyer, P. Hardy, A. Syrota, Sabina Pappatà, Éric Artiges, Marie‐Laure Paillère Martinot, Christian Trichard and M.L. Paillère-Martinot. Their work appears in journals such as American Journal of Psychiatry, Schizophrenia Research, Biological Psychiatry, Schizophrenia Bulletin and Brain.

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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