Leonardo E. Valdivia

1.2k citations
16 papers · 526 · h-index 8

Impact in

Papers in

    • Developmental Biology and Gene Regulation 6
    • Retinal Development and Disorders 3
    • Single-cell and spatial transcriptomics 1
    • Zebrafish Biomedical Research Applications 8

Leonardo E. Valdivia

15 papers receiving 524 citations

Peers

Leonardo E. Valdivia
Comparison fields: 5 of 71
  • Developmental Neuroscience 122
  • Cell Biology 183
  • Neurology 71
  • Cellular and Molecular Neuroscience 136
  • Molecular Biology 318
Replace Kyeong‐Won Yoo with:
Kyeong‐Won Yoo South Korea
Anna Klingseisen United Kingdom
Blake V. Fausett United States
Xiao‐Feng Zhao United States
Suzanne Claxton United Kingdom
Brendan C. Brinkman United States
Mayumi Okamoto Japan
Almudena Velasco Spain
Jimmy de Melo United States
Yvonne Pechmann Germany
Leonardo E. Valdivia relative to Kyeong‐Won Yoo South Korea Kyeong‐Won Yoo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leonardo E. Valdivia

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo E. Valdivia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo E. Valdivia. 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 Leonardo E. Valdivia. The network helps show where Leonardo E. Valdivia may publish in the future.

Co-authors

The 25 scholars most cited alongside Leonardo E. Valdivia, 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 Leonardo E. Valdivia Line = papers co-authored together Leonardo E. Valdivia links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2012188
2 2017132
3 201158
4 201630
5 201826
6 201426
7 201523
8 202211
9 20217
10 20207
11 20196
12 20225
13 20203
14 20213
15 20251
16 20240

About Leonardo E. Valdivia

Leonardo E. Valdivia is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Genetics, having authored 16 papers that have together received 526 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Developmental Biology and Gene Regulation (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Retinal Development and Disorders (3 papers), Nerve injury and regeneration (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Single-cell and spatial transcriptomics (1 paper) and Environmental Toxicology and Ecotoxicology (1 paper). The work is most often cited by research in Developmental Neuroscience (122 citations), Cell Biology (183 citations), Neurology (71 citations), Cellular and Molecular Neuroscience (136 citations) and Molecular Biology (318 citations). Leonardo E. Valdivia has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Stephen W. Wilson, Marc C Ford, David Attwell, Rodrigo Young, Francesco Argenton, Enrico Moro, Claudia Wierzbicki, Alice Domenichini, James F. Amatruda and Alessandro Mongera. Their work appears in journals such as Development, Scientific Reports, The International Journal of Developmental Biology, Disease Models & Mechanisms and Neural Development.

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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