Daniel Tornero

2.1k citations
39 papers · 1.6k · h-index 19

Impact in

Papers in

Daniel Tornero

38 papers receiving 1.6k citations

Peers

Daniel Tornero
Comparison fields: 5 of 102
  • Developmental Neuroscience 416
  • Neurology 435
  • Cellular and Molecular Neuroscience 535
  • Genetics 207
  • Molecular Biology 711
Replace Marta P. Pereira with:
Marta P. Pereira Spain
Raghu Vemuganti United States
XiaoOu Mao United States
Zhida Su China
Meng Inn Chuah Australia
Mário Grãos Portugal
Nina Fainstein Israel
Hong J. Lee South Korea
Holger Braun Germany
Yimin Yuan China
Daniel Tornero relative to Marta P. Pereira Spain Marta P. Pereira's profile →
Citations per field
00.5×2.9×
Marta P. Pereira · 1×
Citations per year

Countries citing papers authored by Daniel Tornero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tornero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Tornero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Tornero Line = papers co-authored together Daniel Tornero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016281
2 2012248
3 2013203
4 2016119
5 2004107
6 201777
7 202070
8 201758
9 200655
10 201748
11 200240
12 201136
13 202032
14 201724
15 202223
16 202322
17 202221
18 202119
19 201918
20 200417

About Daniel Tornero

Daniel Tornero is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Biomedical Engineering and Neurology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (13 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Nerve injury and regeneration (11 papers), Pluripotent Stem Cells Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Mitochondrial Function and Pathology (4 papers), 3D Printing in Biomedical Research (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Developmental Neuroscience (416 citations), Neurology (435 citations), Cellular and Molecular Neuroscience (535 citations), Genetics (207 citations) and Molecular Biology (711 citations). Daniel Tornero has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Zaal Kokaia, Olle Lindvall, Emanuela Monni, Somsak Wattananit, Jemal Tatarishvili, Ruimin Ge, Valentı́n Ceña, Henrik Ahlenius, Yutaka Mine and James Wood. Their work appears in journals such as Stem Cell Research & Therapy, International Journal of Molecular Sciences, Brain, PLoS ONE and Biomedical Materials.

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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