Marc Lenoir

3.5k citations
63 papers · 2.5k · h-index 30

Impact in

Papers in

Marc Lenoir

62 papers receiving 2.5k citations

Peers

Marc Lenoir
Comparison fields: 5 of 114
  • Sensory Systems 1.8k
  • Developmental Biology 160
  • Neurology 555
  • Cognitive Neuroscience 771
  • Otorhinolaryngology 134
Replace Carole M. Hackney with:
Carole M. Hackney United Kingdom
R. Romand France
JoAnn McGee United States
Matthew C. Holley United Kingdom
Douglas A. Cotanche United States
Sherri M. Jones United States
Lawrence C. Erway United States
David Z. Z. He United States
William F. Sewell United States
Brian M. Johnstone Australia
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Citations per field
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Carole M. Hackney · 1×
Citations per year

Countries citing papers authored by Marc Lenoir

Since Specialization
Citations

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

Fields of papers citing papers by Marc Lenoir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980205
2 2008199
3 2014191
4 1985151
5 2011106
6 198793
7 198079
8 198577
9 201167
10 200267
11 197961
12 199760
13 200759
14 198755
15 200547
16 198046
17 198746
18 201645
19 199845
20 200740

About Marc Lenoir

Marc Lenoir is a scholar working on Sensory Systems, Molecular Biology, Cognitive Neuroscience, Neurology and Ecology, Evolution, Behavior and Systematics, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (52 papers), Hearing Loss and Rehabilitation (14 papers), Vestibular and auditory disorders (12 papers), Marine animal studies overview (9 papers), Ion Channels and Receptors (8 papers), Cephalopods and Marine Biology (7 papers), Connexins and lens biology (7 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Sensory Systems (1.8k citations), Developmental Biology (160 citations), Neurology (555 citations), Cognitive Neuroscience (771 citations) and Otorhinolaryngology (134 citations). Marc Lenoir has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Rémy Pujol, Jean‐Luc Puel, Allan Shnerson, Michel Eybalin, Philippe Vago, Sabine Ladrech, Edmond Carlier, M. André, Marta Solé and Jing Wang. Their work appears in journals such as Hearing Research, The Journal of Comparative Neurology, Journal of Neuroscience, Histochemistry and Cell Biology and European Journal of Neuroscience.

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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