Miguel A. López‐Toledano

2.3k citations
27 papers · 1.9k indexed · 1 hit paper · h-index 18

Miguel A. López‐Toledano

27 papers receiving 1.8k citations

Hit Papers

Inhibition of natural antisense transcripts in vivo resul...5282012202620162021100200300400500

Peers

Miguel A. López‐Toledano
Comparison fields: 5 of 98
  • Developmental Neuroscience 421
  • Cancer Research 685
  • Cellular and Molecular Neuroscience 408
  • Neurology 144
  • Molecular Biology 1.1k
Replace Pierre Lau with:
Pierre Lau United States
Donald Pizzo United States
Akira Yoshii United States
Eva M. Jiménez‐Mateos Ireland
Kyle M. Sousa United States
Simone Pacioni Italy
Wim Mandemakers Netherlands
Zilai Wang United States
Stefano Biagioni Italy
Kathryn K. Bercury United States
Miguel A. López‐Toledano relative to Pierre Lau United States Pierre Lau's profile →
Citations per field
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Pierre Lau · 1×
Citations per year

Countries citing papers authored by Miguel A. López‐Toledano

Since Specialization
Citations

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

Fields of papers citing papers by Miguel A. López‐Toledano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. López‐Toledano. 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 Miguel A. López‐Toledano. The network helps show where Miguel A. López‐Toledano may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Miguel A. López‐Toledano, 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 Miguel A. López‐Toledano Line = papers co-authored together Miguel A. López‐Toledano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20244
3 20242
4 20203
5 202024
6 201918
7 201720
8 201725
9 201528
10
Inhibition of natural antisense transcripts in vivo results in gene-specific transcriptional upregulationbreakdown →
2012528
11 201151
12 2011134
13 201027
14 200712
15 2005107
16 2004195
17 200412
18 200448
19 200420
20 200137

About Miguel A. López‐Toledano

Miguel A. López‐Toledano is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (11 papers), Epigenetics and DNA Methylation (3 papers), Diet and metabolism studies (3 papers), Fatty Acid Research and Health (3 papers), Pluripotent Stem Cells Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Alzheimer's disease research and treatments (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Developmental Neuroscience (421 citations), Cancer Research (685 citations) and Cellular and Molecular Neuroscience (408 citations). Miguel A. López‐Toledano has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Mohammad Ali Faghihi, Farzaneh Modarresi, Claes Wahlestedt, Michael L. Shelanski, Marcel P. van der Brug, Shaun P. Brothers, Marco Magistri, Nikunj Patel, Claes Wahlestedt and Eulalia Bazán.

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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