Joaquín de Navascués

2.6k citations
27 papers · 2.0k indexed · 1 hit paper · h-index 18
Topics
RNA Research and Splicing (5 papers)Neurobiology and Insect Physiology Research (4 papers)Ubiquitin and proteasome pathways (4 papers)

In The Last Decade

Joaquín de Navascués

25 papers receiving 2.0k citations

Hit Papers

The multifunctional nucleolus200720262013201920074008001.2k

Peers

Joaquín de Navascués
Comparison fields: 5 of 113
  • Molecular Biology 1.5k
  • Plant Science 245
  • Cell Biology 244
  • Oncology 206
  • Genetics 166
Replace Saskia Hutten with:
Saskia Hutten Germany
Maximiliano A. D’Angelo United States
Elizabeth Hirst United Kingdom
Katrin E. Wiese Germany
Chiao-Chain Huang United States
Marc Gentzel Germany
Dierk Niessing Germany
Andrew J. Saurin France
Céline Revenu France
Emmanuel Vignal France
Joaquín de Navascués relative to Saskia Hutten Germany Saskia Hutten's profile →
Citations per field
00.5×1.5×2.1×
Saskia Hutten · 1×
Citations per year

Countries citing papers authored by Joaquín de Navascués

Since Specialization
Citations

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

Fields of papers citing papers by Joaquín de Navascués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joaquín de Navascués. 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 Joaquín de Navascués. The network helps show where Joaquín de Navascués may publish in the future.

Co-authorship network of co-authors of Joaquín de Navascués

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquín de Navascués. A scholar is included among the top collaborators of Joaquín de Navascués 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 Joaquín de Navascués. Joaquín de Navascués 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 32
3 56
4 31
5 10
6 32
7 15
8 124
9 63
10 13
11 38
12
The multifunctional nucleolusbreakdown →
1247
13 27
14 17
15 47
16 20
17 7
18 20
19 43
20 19

About Joaquín de Navascués

Joaquín de Navascués is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Neurobiology and Insect Physiology Research (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Aging (40 citations), Molecular Biology (1.5k citations) and Cell Biology (244 citations). Joaquín de Navascués has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include François‐Michel Boisvert, Angus I. Lamond, Silvana van Koningsbruggen, Miguel Lafarga, Marı́a T. Berciano, Íñigo Casafont, Juan Modolell, Benjamin D. Simons, Allison J. Bardin and Carmen Pérez‐Rontomé. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Reviews Molecular Cell Biology and The EMBO Journal.

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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