Rémi Patriat

63 total papers · 2.7k total citations
40 papers, 1.8k citations indexed

About

Rémi Patriat is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rémi Patriat has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 14 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rémi Patriat's work include Neurological disorders and treatments (28 papers), Parkinson's Disease Mechanisms and Treatments (20 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Rémi Patriat is often cited by papers focused on Neurological disorders and treatments (28 papers), Parkinson's Disease Mechanisms and Treatments (20 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Rémi Patriat collaborates with scholars based in United States, China and Germany. Rémi Patriat's co-authors include Rasmus M. Birn, Erin K. Molloy, Gregory R. Kirk, Vivek Prabhakaran, Veena A. Nair, Timothy B. Meier, M. Elizabeth Meyerand, Noam Harel, Jerrold L. Vitek and Yuval Duchin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Rémi Patriat

38 papers receiving 1.8k citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rémi Patriat 1.2k 644 513 291 259 40 1.8k
Adam G. Thomas 1.0k 0.8× 449 0.7× 434 0.8× 186 0.6× 160 0.6× 46 2.2k
Paulo Marques 1.1k 0.9× 798 1.2× 207 0.4× 171 0.6× 249 1.0× 48 2.0k
Ian H. Harding 1.5k 1.2× 844 1.3× 296 0.6× 525 1.8× 239 0.9× 71 2.4k
Armin de Greiff 872 0.7× 524 0.8× 293 0.6× 209 0.7× 191 0.7× 51 2.1k
Joshua Kahan 968 0.8× 392 0.6× 873 1.7× 461 1.6× 146 0.6× 26 2.0k
Imis Dogan 1.2k 0.9× 300 0.5× 505 1.0× 405 1.4× 226 0.9× 47 2.0k
Yashar Zeighami 729 0.6× 418 0.6× 911 1.8× 278 1.0× 143 0.6× 67 2.1k
Nils Bodammer 1.2k 1.0× 622 1.0× 274 0.5× 292 1.0× 215 0.8× 41 2.1k
Marta Bianciardi 937 0.8× 700 1.1× 259 0.5× 218 0.7× 106 0.4× 54 1.6k
Xia Liang 1.5k 1.2× 698 1.1× 163 0.3× 425 1.5× 282 1.1× 42 2.2k

Countries citing papers authored by Rémi Patriat

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Patriat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Patriat

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

All Works

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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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