Elena Tortosa

1.2k citations
18 papers · 916 indexed · h-index 17
Topics
Microtubule and mitosis dynamics (11 papers)Cellular transport and secretion (7 papers)Neuroscience and Neuropharmacology Research (5 papers)
Partner nations
SpainNetherlandsChile

In The Last Decade

Elena Tortosa

18 papers receiving 904 citations

Peers

Elena Tortosa
Comparison fields: 5 of 94
  • Cell Biology 507
  • Molecular Biology 473
  • Cellular and Molecular Neuroscience 312
  • Physiology 139
  • Developmental Neuroscience 108
Replace Carolina Montenegro‐Venegas with:
Carolina Montenegro‐Venegas Germany
Philipp Schätzle Netherlands
Joanna Lipka Netherlands
Harald Witte Switzerland
Paola Camera Italy
Liane Meyn Germany
Jean-Michel Cioni United Kingdom
Toshiaki Shigeoka United Kingdom
Karen J. Smillie United Kingdom
Maki Deguchi‐Tawarada Japan
Elena Tortosa relative to Carolina Montenegro‐Venegas Germany Carolina Montenegro‐Venegas's profile →
Citations per field
00.5×1.5×2.0×
Carolina Montenegro‐Venegas · 1×
Citations per year

Countries citing papers authored by Elena Tortosa

Since Specialization
Citations

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

Fields of papers citing papers by Elena Tortosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Tortosa

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 13
2 73
3 22
4 87
5 142
6 25
7 18
8 60
9 39
10 63
11 71
12 80
13 19
14 77
15 53
16 37
17 20
18 17

About Elena Tortosa

Elena Tortosa is a scholar working on Cell Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 916 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (11 papers), Cellular transport and secretion (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cell Biology (507 citations), Developmental Neuroscience (108 citations) and Cellular and Molecular Neuroscience (312 citations). Elena Tortosa has collaborated with scholars based in Spain, Netherlands and Chile. Frequent co-authors include Jesús Ávila, Casper C. Hoogenraad, Lukas C. Kapitein, Carmen Laura Sayas, Christian González‐Billault, Mar Pérez, Flavia Bollati, Stéphane Pagès, Philipp Schätzle and Kah Wai Yau. Their work appears in journals such as Journal of Biological Chemistry, Neuron 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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