Federico N. Soria

1.7k citations
24 papers · 1.2k indexed · h-index 20
Topics
Neuroscience and Neuropharmacology Research (5 papers)Parkinson's Disease Mechanisms and Treatments (5 papers)Lysosomal Storage Disorders Research (4 papers)
Partner nations
SpainFranceUnited States

In The Last Decade

Federico N. Soria

23 papers receiving 1.2k citations

Peers

Federico N. Soria
Comparison fields: 5 of 108
  • Molecular Biology 402
  • Cellular and Molecular Neuroscience 252
  • Physiology 211
  • Neurology 180
  • Neurology 177
Replace Ning Huang with:
Ning Huang China
Yumei Wu United States
Henrik Martens Germany
Makoto Itakura Japan
Seok‐Kyu Kwon South Korea
Sigrun Nestel Germany
Tanja Maritzen Germany
Ira Milošević Germany
Marijn Kuijpers Netherlands
Antje Grosche Germany
Federico N. Soria relative to Ning Huang China Ning Huang's profile →
Citations per field
00.5×2.6×
Ning Huang · 1×
Citations per year

Countries citing papers authored by Federico N. Soria

Since Specialization
Citations

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

Fields of papers citing papers by Federico N. Soria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico N. Soria

This figure shows the co-authorship network connecting the top 25 collaborators of Federico N. Soria. A scholar is included among the top collaborators of Federico N. Soria 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 Federico N. Soria. Federico N. Soria 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
#WorkIndexed citations
1 0
2 6
3 1
4 19
5 27
6 29
7 36
8 77
9 34
10 46
11 15
12 35
13 105
14 113
15 160
16 22
17 34
18 19
19 95
20 58

About Federico N. Soria

Federico N. Soria is a scholar working on Neurology, Developmental Neuroscience and Structural Biology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Physiology (118 citations), Neurology (177 citations) and Structural Biology (22 citations). Federico N. Soria has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Erwan Bézard, Benjamin Dehay, Mathieu Bourdenx, Marı́a Domercq, Carlos Matute, Olatz Pampliega, Jan Tønnesen, Mireille Blanchard‐Desce, Jonathan Daniel and Leandro A. Miranda. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Journal of Neuroscience.

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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