Marie Teixeira

814 total citations
26 papers, 596 citations indexed

About

Marie Teixeira is a scholar working on Sensory Systems, Neurology and Molecular Biology. According to data from OpenAlex, Marie Teixeira has authored 26 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sensory Systems, 13 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Marie Teixeira's work include Vestibular and auditory disorders (13 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers) and Ion Channels and Receptors (5 papers). Marie Teixeira is often cited by papers focused on Vestibular and auditory disorders (13 papers), Hearing, Cochlea, Tinnitus, Genetics (10 papers) and Ion Channels and Receptors (5 papers). Marie Teixeira collaborates with scholars based in France, Italy and Sweden. Marie Teixeira's co-authors include Évelyne Ferrary, Olivier Sterkers, Vincent Couloigner, Els Verhoeyen, François–Loïc Cosset, Valérie Risson, Christian Pinset, Philippe Mangeot, Aline Marnef and Floriane Fusil and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Scientific Reports.

In The Last Decade

Marie Teixeira

26 papers receiving 584 citations

Peers

Marie Teixeira
Comparison fields: 5 of 91
  • Molecular Biology 374
  • Genetics 142
  • Sensory Systems 120
  • Neurology 114
  • Biotechnology 44
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Xin Cao China
Ahmad Usman Zafar Pakistan
Kumiko Hosokawa Japan
Ilse J. de Wijs Netherlands
Yan Zhu China
Piotr Stawiński Poland
Teresa Rivera Spain
Lowell L. Williams United States
Anastasia Mashukova United States
Xia Xu United States
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Citations per field, relative to Marie Teixeira
Marie Teixeira · 1×
Citations per year, relative to Marie Teixeira
Marie Teixeira · 1×

Countries citing papers authored by Marie Teixeira

Since Specialization
Citations

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

Fields of papers citing papers by Marie Teixeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Teixeira

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Teixeira. A scholar is included among the top collaborators of Marie Teixeira based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marie Teixeira. Marie Teixeira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 58
2
CRISPR/Cas9 Editing of the Mouse Thra Gene Produces Models with Variable Resistance to Thyroid Hormone
2
3 233
4 18
5 14
6 3
7 37
8 12
9 12
10 35
11 30
12 19
13 15
14 5
15 11
16 1
17 1
18 5
19 6
20 1

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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