Laurence Ris

2.8k citations
77 papers · 2.3k · h-index 27

Impact in

  • Neurology top 1%
    • Vestibular and auditory disorders
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Hearing, Cochlea, Tinnitus, Genetics

Papers in

Laurence Ris

73 papers receiving 2.3k citations

Peers

Laurence Ris
Comparison fields: 5 of 119
  • Neurology 781
  • Sensory Systems 367
  • Cellular and Molecular Neuroscience 886
  • Developmental Neuroscience 147
  • Physiology 639
Replace Gian Battista Azzena with:
Gian Battista Azzena Italy
Feng Bian United States
Emmanuel Moyse France
Maria Vittoria Podda Italy
Francesca R. Fusco Italy
Leonard Khiroug Finland
Megumi Kaneko Japan
Masaki Sakurai Japan
Maria Francesca Serapide Italy
Masahisa Yamada United States
Laurence Ris relative to Gian Battista Azzena Italy Gian Battista Azzena's profile →
Citations per field
00.5×2×2.6×
Gian Battista Azzena · 1×
Citations per year

Countries citing papers authored by Laurence Ris

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Ris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002212
2 1995168
3 2015123
4 1998122
5 2001119
6 2003103
7 200794
8 199790
9 200388
10 200984
11 201175
12 201672
13 200748
14 202246
15 201846
16 200646
17 200142
18 201439
19 200537
20 201336

About Laurence Ris

Laurence Ris is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Physiology and Cognitive Neuroscience, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (30 papers), Vestibular and auditory disorders (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (12 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers), Memory and Neural Mechanisms (8 papers), Ion channel regulation and function (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Neurology (781 citations), Sensory Systems (367 citations), Cellular and Molecular Neuroscience (886 citations), Developmental Neuroscience (147 citations) and Physiology (639 citations). Laurence Ris has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Emile Godaux, Pierre‐Paul Vidal, Ilse Dewachter, Karl-Peter Giese, Catherine de Waele, Mauro Serafin, Fred Van Leuven, Keiko Mizuno, Delphine Reversé and Nicolas Vibert. Their work appears in journals such as Neuroreport, European Journal of Neuroscience, Learning & Memory, Journal of Neurophysiology and Molecular Psychiatry.

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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