Daniel A. Cantu

562 citations
6 papers · 336 · h-index 5

Impact in

Papers in

Daniel A. Cantu

6 papers receiving 332 citations

Peers

Daniel A. Cantu
Comparison fields: 5 of 52
  • Developmental Neuroscience 44
  • Cognitive Neuroscience 161
  • Cellular and Molecular Neuroscience 131
  • Genetics 134
  • Biophysics 23
Replace Dominik F. Aschauer with:
Dominik F. Aschauer Germany
Jessica M. Fawcett‐Patel United States
James Anstey United States
Leonardo Lupori Italy
Noriko Koganezawa Japan
Giuliana Caronia United States
Tomer Langberg United States
Genelle Rankin United States
Kartik Ramamoorthi United States
Mei Yuan China
Daniel A. Cantu relative to Dominik F. Aschauer Germany Dominik F. Aschauer's profile →
Citations per field
00.5×1.5×2.2×
Dominik F. Aschauer · 1×
Citations per year

Countries citing papers authored by Daniel A. Cantu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Cantu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Daniel A. Cantu, 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 A. Cantu Line = papers co-authored together Daniel A. Cantu links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2018113
2 2017100
3 202064
4 200939
5 201819
6
Analysis of fluorescent calcium signals in the detection of neural circuitry abnormalities in a mouse model of autism
20191

About Daniel A. Cantu

Daniel A. Cantu is a scholar working on Cognitive Neuroscience, Genetics, Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 336 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neuroscience and Neural Engineering (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Retinal Development and Disorders (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Developmental Neuroscience (44 citations), Cognitive Neuroscience (161 citations), Cellular and Molecular Neuroscience (131 citations), Genetics (134 citations) and Biophysics (23 citations). Daniel A. Cantu has collaborated with scholars based in United States, Mexico and Bulgaria. Frequent co-authors include Anubhuti Goel, Carlos Portera‐Cailliau, William Zeiger, Nazim Kourdougli, Gunvant Chaudhari, Craig A. Erickson, Diego de Alba, Ernest V. Pedapati, Lauren Schmitt and América Vanoye–Carlo. Their work appears in journals such as Frontiers in Neural Circuits, Nature Neuroscience, Journal of Neuroscience, Neuroscience Letters and eScholarship (California Digital Library).

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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