Roberto Fernández‐Torrón

2.8k citations
40 papers · 812 indexed · h-index 15
Topics
Muscle Physiology and Disorders (13 papers)Genetic Neurodegenerative Diseases (10 papers)Mitochondrial Function and Pathology (4 papers)

In The Last Decade

Roberto Fernández‐Torrón

37 papers receiving 799 citations

Peers

Roberto Fernández‐Torrón
Comparison fields: 5 of 78
  • Molecular Biology 388
  • Neurology 290
  • Cellular and Molecular Neuroscience 254
  • Physiology 146
  • Genetics 136
Replace Frank Hanisch with:
Frank Hanisch Germany
Rosa Guerrero Spain
Jung‐Joon Sung South Korea
Luca Leonardi Italy
Tomoya Kon Japan
Jung‐Joon Sung South Korea
Andrew B. Wolf United States
Yuanli Zhao China
Lewis Z. Leng United States
Luigi Serlenga Italy
Roberto Fernández‐Torrón relative to Frank Hanisch Germany Frank Hanisch's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Roberto Fernández‐Torrón

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Fernández‐Torrón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Fernández‐Torrón. 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 Roberto Fernández‐Torrón. The network helps show where Roberto Fernández‐Torrón may publish in the future.

Co-authorship network of co-authors of Roberto Fernández‐Torrón

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Fernández‐Torrón. A scholar is included among the top collaborators of Roberto Fernández‐Torrón 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 Roberto Fernández‐Torrón. Roberto Fernández‐Torrón 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 1
3 0
4 9
5 13
6 3
7 8
8 8
9 1
10 153
11 25
12 32
13 2
14 43
15 11
16 30
17 57
18 8
19 2
20 27

About Roberto Fernández‐Torrón

Roberto Fernández‐Torrón is a scholar working on Health Informatics, Neurology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 812 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Genetic Neurodegenerative Diseases (10 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Neurology (290 citations), Cellular and Molecular Neuroscience (254 citations) and Genetics (136 citations). Roberto Fernández‐Torrón has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Adolfo López de Munaín, Ander Matheu, Eduardo Martínez‐Vila, Jose‐Alberto Palma, Pablo Irimia, Mikel García-Puga, Javier Riancho, Juan José Poza, Francisco J. Gil‐Bea and Ricard Rojas‐García. Their work appears in journals such as Neurology, Progress in Neurobiology and Muscle & Nerve.

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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