Université Paris-Seine

262 papers and 4.6k indexed citations i.

About

In recent decades, authors affiliated with Université Paris-Seine have published 262 papers, which have received a total of 4.6k indexed citations. Scholars at this organization have produced 55 papers in Cellular and Molecular Neuroscience, 47 papers in Molecular Biology and 33 papers in Cognitive Neuroscience on the topics of Neuroscience and Neuropharmacology Research (37 papers), Memory and Neural Mechanisms (19 papers) and Receptor Mechanisms and Signaling (15 papers). Their work is cited by papers focused on Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (1.0k citations) and Cognitive Neuroscience (792 citations). Authors at Université Paris-Seine collaborate with scholars in France, United States and Canada and have published in prestigious journals including Physical Review Letters, Neuron and Nature Communications. Some of Université Paris-Seine's most productive authors include Laure Rondi‐Reig, Sakina Mhaouty‐Kodja, M. Tinkham, Alexandre Mourot, Karim Benchenane, Juan Pelta, Pierre Paoletti, Graham C. R. Ellis‐Davies, Hadjer Ouldali and Anne‐Lise Paradis.

In The Last Decade

Fields of papers published by authors at Université Paris-Seine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Université 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 Université Paris-Seine at the time of their publication.

Countries citing scholars working at Université Paris-Seine

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Université 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 Université 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 Université Paris-Seine more than expected).

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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2025