Verónica Lamas

678 citations
7 papers · 499 · 1 hit paper · h-index 6

Impact in

Papers in

    • Neuroscience and Music Perception 3
    • Neural dynamics and brain function 3
    • Hearing Loss and Rehabilitation 1
    • Hearing, Cochlea, Tinnitus, Genetics 4

Verónica Lamas

7 papers receiving 491 citations

Verónica Lamas's Hit Papers

Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents 2017 · 410 citations
4100+3+6Years since publication100200300400

Peers

Verónica Lamas
Comparison fields: 5 of 56
  • Sensory Systems 187
  • Business and International Management 20
  • Aging 12
  • Otorhinolaryngology 24
  • Molecular Biology 363
Replace Adrienn Volak with:
Adrienn Volak United States
Marie Teixeira France
Shaheen Khan Pakistan
Lauren Chessum United Kingdom
Adam T. Palermo United States
Marta Magariños Spain
Fernando Mayo Spain
Trent Fowler United States
Zhigao Long China
Cylia Rochat Switzerland
Verónica Lamas relative to Adrienn Volak United States Adrienn Volak's profile →
Citations per field
00.5×1.5×
Adrienn Volak · 1×
Citations per year

Countries citing papers authored by Verónica Lamas

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Lamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents
Hit paper breakdown →
2017410
2 202329
3 201924
4 201319
5 201711
6 20175
7 20171

About Verónica Lamas

Verónica Lamas is a scholar working on Cognitive Neuroscience, Sensory Systems, Molecular Biology, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 7 papers that have together received 499 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (4 papers), Neuroscience and Music Perception (3 papers), CRISPR and Genetic Engineering (3 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA regulation and disease (2 papers), Hearing Loss and Rehabilitation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Sensory Systems (187 citations), Business and International Management (20 citations), Aging (12 citations), Otorhinolaryngology (24 citations) and Molecular Biology (363 citations). Verónica Lamas has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Zheng‐Yi Chen, Johnny H. Hu, David B. Thompson, Weijia Kong, Yong Tao, Yilai Shu, David R. Liu, Xue Gao, Bifeng Pan and Shiming Yang. Their work appears in journals such as Journal of Visualized Experiments, Nature, Hearing Research, Advances in experimental medicine and biology and Nature Communications.

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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