N. Raguer

77 total papers · 857 total citations
38 papers, 584 citations indexed

About

N. Raguer is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, N. Raguer has authored 38 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 7 papers in Surgery and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in N. Raguer's work include Peripheral Neuropathies and Disorders (10 papers), Liver Disease and Transplantation (5 papers) and Epilepsy research and treatment (5 papers). N. Raguer is often cited by papers focused on Peripheral Neuropathies and Disorders (10 papers), Liver Disease and Transplantation (5 papers) and Epilepsy research and treatment (5 papers). N. Raguer collaborates with scholars based in Spain, United States and Palestinian Territory. N. Raguer's co-authors include Juan Córdoba, Josep Gámez, Juli Alonso, Àlex Rovira, Elisenda Grivé, Salvador Pedraza, A. Rovira, Marc Oria, J. Ruscalleda and José Álvarez‐Sabín and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

N. Raguer

33 papers receiving 573 citations

Author Peers

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

Author Last Decade Papers Cites
N. Raguer 192 140 118 105 104 38 584
Tomoichi Kusunoki 129 0.7× 102 0.7× 161 1.4× 35 0.3× 158 1.5× 57 695
Matthias Morgalla 208 1.1× 119 0.8× 95 0.8× 36 0.3× 115 1.1× 37 608
Naoki Nitta 71 0.4× 145 1.0× 103 0.9× 75 0.7× 142 1.4× 42 623
L.J. Endtz 203 1.1× 76 0.5× 61 0.5× 11 0.1× 148 1.4× 34 530
Liang Zhang 52 0.3× 168 1.2× 70 0.6× 49 0.5× 126 1.2× 60 587
Jason Hsieh 173 0.9× 104 0.7× 184 1.6× 18 0.2× 107 1.0× 28 622
Damir Nizamutdinov 90 0.5× 64 0.5× 90 0.8× 31 0.3× 150 1.4× 29 581
Mark Li 138 0.7× 151 1.1× 171 1.4× 44 0.4× 111 1.1× 24 629
Young-Hwan Ahn 121 0.6× 135 1.0× 55 0.5× 17 0.2× 108 1.0× 30 508
Hisashi Kobayashi 66 0.3× 54 0.4× 105 0.9× 53 0.5× 124 1.2× 43 546

Countries citing papers authored by N. Raguer

Since Specialization
Citations

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

Fields of papers citing papers by N. Raguer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Raguer

This figure shows the co-authorship network connecting the top 25 collaborators of N. Raguer. A scholar is included among the top collaborators of N. Raguer 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 N. Raguer. N. Raguer 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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