Magali Iché-Torres

530 citations
8 papers · 379 indexed · h-index 8
Topics
CRISPR and Genetic Engineering (3 papers)Neurobiology and Insect Physiology Research (3 papers)Genetics, Aging, and Longevity in Model Organisms (2 papers)

In The Last Decade

Magali Iché-Torres

8 papers receiving 377 citations

Peers

Magali Iché-Torres
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 209
  • Molecular Biology 130
  • Genetics 99
  • Insect Science 63
  • Ecology, Evolution, Behavior and Systematics 62
Replace Marlène Cassar with:
Marlène Cassar United States
Anna Grygoruk United States
Karol Cichewicz United States
Kisang Kwon South Korea
Sudipta Saraswati United States
Nasima Mayer United States
Abdul-Raouf Issa France
Atefeh Pooryasin Germany
Valérie Goguel France
Yiting Liu Sweden
Magali Iché-Torres relative to Marlène Cassar United States Marlène Cassar's profile →
Citations per field
00.5×1.5×
Marlène Cassar · 1×
Citations per year

Countries citing papers authored by Magali Iché-Torres

Since Specialization
Citations

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

Fields of papers citing papers by Magali Iché-Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magali Iché-Torres. 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 Magali Iché-Torres. The network helps show where Magali Iché-Torres may publish in the future.

Co-authorship network of co-authors of Magali Iché-Torres

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 15
2 34
3 10
4 63
5 42
6 14
7 12
8 189

About Magali Iché-Torres

Magali Iché-Torres is a scholar working on Aging, Sensory Systems and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 379 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (51 citations), Cellular and Molecular Neuroscience (209 citations) and Endocrine and Autonomic Systems (40 citations). Magali Iché-Torres has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Serge Birman, Marlène Cassar, Thomas Riemensperger, Hélène Coulom, Jay Hirsh, Laurent Seugnet, Kazuhiko Kume, Thomas Préat, Guillaume Isabel and Kirsa Neuser. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Developmental Cell.

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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