Frédéric Nagy

2.0k total citations
31 papers, 1.7k citations indexed

About

Frédéric Nagy is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Frédéric Nagy has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 16 papers in Physiology and 13 papers in Molecular Biology. Recurrent topics in Frédéric Nagy's work include Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (11 papers) and Ion channel regulation and function (11 papers). Frédéric Nagy is often cited by papers focused on Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (11 papers) and Ion channel regulation and function (11 papers). Frédéric Nagy collaborates with scholars based in France, Sweden and United Kingdom. Frédéric Nagy's co-authors include Valérie Morisset, Marc Landry, Rabia Bouali‐Benazzouz, Jean‐Marie Cabelguen, Sandrine S. Bertrand, Pascal Fossat, Alexandre Favereaux, Claire Léger, Gwendal Le Masson and Philippe Ravassard and has published in prestigious journals such as Journal of Neuroscience, The EMBO Journal and Nature Neuroscience.

In The Last Decade

Frédéric Nagy

31 papers receiving 1.7k citations

Peers

Frédéric Nagy
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 977
  • Molecular Biology 719
  • Physiology 679
  • Cognitive Neuroscience 181
  • Cell Biology 152
Replace Mariko Yamano with:
Mariko Yamano Japan
Yoshinori Sahara Japan
Boris V. Safronov Portugal
Gang‐Yi Wu United States
Karl W. Kafitz Germany
Claire E. Le Pichon United States
Patricio Opazo United Kingdom
Xiangang Zong Germany
A.B. Oestreicher Netherlands
Mariko Yamano Japan View profile →
Citations per field, relative to Frédéric Nagy
Frédéric Nagy · 1×
Citations per year, relative to Frédéric Nagy
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Countries citing papers authored by Frédéric Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Nagy

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 43
3 46
4 157
5 19
6 30
7 1
8 144
9 8
10 26
11 42
12 24
13 31
14 41
15 111
16 125
17 69
18 64
19 52
20 16

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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