Sophie Layé

15.8k citations
170 papers · 11.5k indexed · 2 hit papers · h-index 62

Impact in

Papers in

Sophie Layé

165 papers receiving 11.3k citations

Hit Papers

Microbiota-derived metabolites as drivers of gut–brain communication 2022 · 239 citations
23920142026201820222505007501000

Peers

Sophie Layé
Comparison fields: 5 of 160
  • Biological Psychiatry 2.2k
  • Behavioral Neuroscience 2.0k
  • Neurology 2.4k
  • Endocrine and Autonomic Systems 1.2k
  • Nutrition and Dietetics 2.6k
Replace Cai Song with:
Cai Song China
Diogo O. Souza Brazil
Mónica De la Fuente Spain
Ahmad Reza Dehpour Iran
Xu‐Feng Huang Australia
Ana Lúcia S. Rodrigues Brazil
Adair R.S. Santos Brazil
Gilles J. Guillemin Australia
Robert K. McNamara United States
Jeffrey N. Keller United States
Sophie Layé relative to Cai Song China Cai Song's profile →
Citations per field
00.5×
Cai Song · 1×
Citations per year

Countries citing papers authored by Sophie Layé

Since Specialization
Citations

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

Fields of papers citing papers by Sophie Layé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20247
3 20232
4 20239
5 202214
6 202211
7 20227
8 202227
9
Microbiota-derived metabolites as drivers of gut–brain communication
Hit paper breakdown →
2022239
10 202123
11 202177
12 202014
13 202031
14 201932
15 20181
16 201738
17 201640
18 201649
19 20018
20 1998193

About Sophie Layé

Sophie Layé is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Neurology, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 170 papers that have together received 11.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (56 papers), Fatty Acid Research and Health (55 papers), Stress Responses and Cortisol (34 papers), Tryptophan and brain disorders (30 papers), Diet and metabolism studies (28 papers), Immune Response and Inflammation (20 papers), Adipose Tissue and Metabolism (12 papers) and Regulation of Appetite and Obesity (10 papers). The work is most often cited by research in Biological Psychiatry (2.2k citations), Behavioral Neuroscience (2.0k citations), Neurology (2.4k citations), Endocrine and Autonomic Systems (1.2k citations) and Nutrition and Dietetics (2.6k citations). Sophie Layé has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Richard P. Bazinet, Robert Dantzer, Joffre Corinne, Patricia Parnet, Agnès Aubert, Agnès Nadjar, Nathalie Castanon, Guillaume Ferreira, Lucile Capuron and Emmanuelle Goujon. Their work appears in journals such as Brain Behavior and Immunity, Prostaglandins Leukotrienes and Essential Fatty Acids, PLoS ONE, Psychoneuroendocrinology and Nutrients.

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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