A. Laquérrière

2.7k citations
77 papers · 1.5k indexed · h-index 23

A. Laquérrière

74 papers receiving 1.5k citations

Peers

A. Laquérrière
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 336
  • Neurology 271
  • Developmental Neuroscience 60
  • Physiology 344
  • Neurology 103
Replace Tomoya Terashima with:
Tomoya Terashima Japan
J. R. Muddle United Kingdom
Francesco Nicita Italy
Paola Pichiule United States
Valentine Brussee Canada
Fátima Ferreirinha Portugal
Minoru Hoshimaru Japan
Hidehiro Oku Japan
Laura Flores‐Sarnat Canada
Rocío Pérez‐González Spain
A. Laquérrière relative to Tomoya Terashima Japan Tomoya Terashima's profile →
Citations per field
00.5×1.5×
Tomoya Terashima · 1×
Citations per year

Countries citing papers authored by A. Laquérrière

Since Specialization
Citations

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

Fields of papers citing papers by A. Laquérrière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20197
3 20159
4 201125
5 201075
6 20080
7 20070
8 200718
9 20062
10 200518
11 20057
12 199924
13 199714
14 199722
15 19969
16 19945
17 199427
18 199454
19 199418
20 19936

About A. Laquérrière

A. Laquérrière is a scholar working on Neurology, Genetics, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Alzheimer's disease research and treatments (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Brain Metastases and Treatment (4 papers), Nerve injury and regeneration (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), Meningioma and schwannoma management (4 papers) and Adrenal and Paraganglionic Tumors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (336 citations), Neurology (271 citations), Developmental Neuroscience (60 citations), Physiology (344 citations) and Neurology (103 citations). A. Laquérrière has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include Didier Hannequin, J Hémet, Dominique Campion, Philippe Leroux, Lucie Guyant‐Maréchal, Bruno J. Gonzalez, Corinne Bodénant, Hubert Vaudry, Thierry Frébourg and Hubert Vaudry. Their work appears in journals such as Neuroscience, Neuropathology and Applied Neurobiology, Neurology, European Journal of Medical Genetics and Brain Research.

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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