Guida Landouré

2.4k citations
54 papers · 715 indexed · h-index 13
Topics
Hereditary Neurological Disorders (11 papers)Genomics and Rare Diseases (10 papers)Genetic Neurodegenerative Diseases (7 papers)
Journals
NatureNature GeneticsSHILAP Revista de lepidopterología

In The Last Decade

Guida Landouré

49 papers receiving 698 citations

Peers

Guida Landouré
Comparison fields: 5 of 93
  • Molecular Biology 304
  • Cellular and Molecular Neuroscience 204
  • Sensory Systems 160
  • Genetics 153
  • Neurology 87
Replace Anita Y. Bahar with:
Anita Y. Bahar Australia
Kate M. Brody Australia
Ratneswary Sutharsan Australia
Nancy D. Merner United States
Yijun Shi United States
Saara Tegelberg Finland
T.C. Theoharides United States
Daniel M. Collier United States
Cristina Tinti Italy
Parul Jayakar United States
Guida Landouré relative to Anita Y. Bahar Australia Anita Y. Bahar's profile →
Citations per field
00.5×1.5×2.4×
Anita Y. Bahar · 1×
Citations per year

Countries citing papers authored by Guida Landouré

Since Specialization
Citations

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

Fields of papers citing papers by Guida Landouré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guida Landouré

This figure shows the co-authorship network connecting the top 25 collaborators of Guida Landouré. A scholar is included among the top collaborators of Guida Landouré 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 Guida Landouré. Guida Landouré 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
#WorkIndexed citations
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11 25
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14 45
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[Using CT to diagnose brain tumors at the Point G Hospital in Mali].
1

About Guida Landouré

Guida Landouré is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 715 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (11 papers), Genomics and Rare Diseases (10 papers) and Genetic Neurodegenerative Diseases (7 papers). The work is most often cited by research in Sensory Systems (160 citations), Cellular and Molecular Neuroscience (204 citations) and Neurology (87 citations). Guida Landouré has collaborated with scholars based in Mali, United States and South Africa. Frequent co-authors include Kenneth H. Fischbeck, Barrington G. Burnett, Yijun Shi, Rachelle Gaudet, Christy L. Ludlow, Clare H. Munns, Charlotte J. Sumner, Horia Stanescu, Ambroise Wonkam and Robert Kleta. Their work appears in journals such as Nature, Nature Genetics and SHILAP Revista de lepidopterología.

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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