Institut de Biologie Paris-Seine

37.2k citations
1.5k papers ·

Impact in

Papers in

Institut de Biologie Paris-Seine

1.3k papers receiving 34.1k citations

Peers

Institut de Biologie Paris-Seine
Comparison fields: 5 of 214
  • Cellular and Molecular Neuroscience 5.7k
  • Aging 488
  • Molecular Biology 16.0k
  • Neurology 1.8k
  • Developmental Neuroscience 767
Replace Fondation de l'Avenir with:
Fondation de l'Avenir France
Centre Interdisciplinaire de Recherche en Biologie France
Laboratoire d’immunologie intégrative du cancer France
Institut des Neurosciences Paris-Saclay France
Laboratoire d’Ethologie Expérimentale et Comparée France
Northwick Park Institute for Medical Research United Kingdom
Laboratoire de Biologie Moléculaire et Cellulaire des Eucaryotes France
Centre de Recherche Jean Pierre Aubert France
Ipsen (France) France
Mary Lyon Centre at MRC Harwell United Kingdom
Institut de Biologie Paris-Seine relative to Fondation de l'Avenir France Fondation de l'Avenir's profile →
Citations per field
00.5×1.5×2×2.3×
Fondation de l'Avenir · 1×
Citations per year

Countries citing scholars working at Institut de Biologie Paris-Seine

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institut de Biologie Paris-Seine. 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 papers produced at Institut de Biologie Paris-Seine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institut de Biologie Paris-Seine more than expected).

Fields of papers published by authors at Institut de Biologie Paris-Seine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institut de Biologie Paris-Seine at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institut de Biologie Paris-Seine at the time of their publication.

About Institut de Biologie Paris-Seine

In recent decades, authors affiliated with Institut de Biologie Paris-Seine have published 1.5k papers, which have received a total of 37.2k indexed citations . Scholars at this organization have produced 35 papers in Aging, 288 papers in Cellular and Molecular Neuroscience, 731 papers in Molecular Biology, 166 papers in Cell Biology and 37 papers in Developmental Neuroscience on the topics of Neuroscience and Neuropharmacology Research (124 papers), RNA Research and Splicing (68 papers), Receptor Mechanisms and Signaling (66 papers), RNA modifications and cancer (60 papers), RNA and protein synthesis mechanisms (58 papers), Genomics and Phylogenetic Studies (56 papers), Muscle Physiology and Disorders (53 papers) and Neurotransmitter Receptor Influence on Behavior (50 papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (5.7k citations), Aging (488 citations), Molecular Biology (16.0k citations), Neurology (1.8k citations) and Developmental Neuroscience (767 citations). Authors at Institut de Biologie Paris-Seine collaborate with scholars in France, United States and Germany and have published in prestigious journals including Scientific Reports, Nature Communications, eLife, PLoS ONE and International Journal of Molecular Sciences. Some of Institut de Biologie Paris-Seine's most productive authors include Onnik Agbulut, De‐Li Shi, Christophe Bailly, Martin Weigt, Sakina Mhaouty‐Kodja, Ali Ladram, Hayat El‐Maarouf‐Bouteau, Ludovic Tricoire, Laure Rondi‐Reig and Katja Wassmann.

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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