Verónica Lamas
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- CRISPR and Genetic Engineering 3
- RNA regulation and disease 2
- Retinal Development and Disorders 1
-
- Neural dynamics and brain function 2
- Neuroscience and Music Perception 2
- Hearing Loss and Rehabilitation 1
- Co-authors
- Zheng‐Yi Chen (3 shared papers)Yilai Shu (2 shared papers)David R. Liu (2 shared papers)Weijia Kong (2 shared papers)Xue Gao (2 shared papers)Johnny H. Hu (2 shared papers)David B. Thompson (2 shared papers)Yong Tao (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)PLoS ONE (1 paper)Hearing Research (1 paper)Advances in experimental medicine and biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
Verónica Lamas
7 papers receiving 517 citations
Verónica Lamas's Hit Papers
Peers
Comparison fields: 5 of 55
- Sensory Systems 193
- Business and International Management 20
- Aging 12
- Otorhinolaryngology 24
- Molecular Biology 367
Countries citing papers authored by Verónica Lamas
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents Hit paper breakdown → | 2017 | 432 |
| 2 | 2023 | 34 | |
| 3 | 2019 | 24 | |
| 4 | 2013 | 19 | |
| 5 | 2017 | 11 | |
| 6 | 2017 | 5 | |
| 7 | 2017 | 1 |
About Verónica Lamas
Verónica Lamas is a scholar working on Molecular Biology, Cognitive Neuroscience, Sensory Systems, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 7 papers that have together received 526 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neuroscience and Music Perception (2 papers), RNA regulation and disease (2 papers), Hearing Loss and Rehabilitation (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Sensory Systems (193 citations), Business and International Management (20 citations), Aging (12 citations), Otorhinolaryngology (24 citations) and Molecular Biology (367 citations). Verónica Lamas has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Zheng‐Yi Chen, Yilai Shu, David R. Liu, Weijia Kong, Xue Gao, Johnny H. Hu, David B. Thompson, Yong Tao, Wei-Hsi Yeh and Yujuan Hu. Their work appears in journals such as Journal of Visualized Experiments, PLoS ONE, Hearing Research, Advances in experimental medicine and biology and Nature.
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.