Alexandra Seguin

704 citations
13 papers · 322 indexed · h-index 8
Topics
Mitochondrial Function and Pathology (6 papers)Genetic Neurodegenerative Diseases (6 papers)Hemoglobinopathies and Related Disorders (3 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Alexandra Seguin

13 papers receiving 317 citations

Peers

Alexandra Seguin
Comparison fields: 5 of 58
  • Molecular Biology 246
  • Cellular and Molecular Neuroscience 194
  • Cell Biology 59
  • Neurology 44
  • Nutrition and Dietetics 26
Replace Aurélien Bayot with:
Aurélien Bayot France
Mathieu Lachance Canada
Hilary V. Clegg United States
Samira Ait-El-Mkadem France
Christine M. Rostosky Germany
Jinping Ma China
Jana Key Germany
Bas F.J. Wanschers Netherlands
Ruth E. Carmichael United Kingdom
Patricia M. Okamoto United States
Alexandra Seguin relative to Aurélien Bayot France Aurélien Bayot's profile →
Citations per field
00.5×1.5×
Aurélien Bayot · 1×
Citations per year

Countries citing papers authored by Alexandra Seguin

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Seguin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Seguin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Seguin. A scholar is included among the top collaborators of Alexandra Seguin 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 Alexandra Seguin. Alexandra Seguin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 5
2 3
3 2
4 5
5 16
6 9
7 27
8 13
9 6
10 140
11 37
12 17
13 42

About Alexandra Seguin

Alexandra Seguin is a scholar working on Cellular and Molecular Neuroscience, Genetics and Biochemistry, having authored 13 papers that have together received 322 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (194 citations), Cell Biology (59 citations) and Molecular Biology (246 citations). Alexandra Seguin has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Jean‐Michel Camadro, Emmanuel Lesuisse, Renata Santos, Sophie D. Lefevre, Andrew Dancis, Anne‐Laure Bulteau, Diane M. Ward, Françoise Auchère, Adelina Rogowska-Wrzesińska and Aurélien Bayot. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and International Journal of Molecular Sciences.

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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