Verónica Lamas

678 total citations · 1 hit paper
7 papers, 499 citations indexed

About

Verónica Lamas is a scholar working on Cognitive Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Verónica Lamas has authored 7 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Sensory Systems and 3 papers in Molecular Biology. Recurrent topics in Verónica Lamas's work include Hearing, Cochlea, Tinnitus, Genetics (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Music Perception (3 papers). Verónica Lamas is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Music Perception (3 papers). Verónica Lamas collaborates with scholars based in United States, Spain and China. Verónica Lamas's co-authors include Zheng‐Yi Chen, Xue Gao, Yong Tao, David B. Thompson, Yilai Shu, David R. Liu, Johnny H. Hu, Weijia Kong, Yin Wang and Wei-Hsi Yeh and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Verónica Lamas

7 papers receiving 491 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents

2017 410 citations Xue Gao, Yong Tao et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Verónica Lamas United States	6	363	187	85	79	37	7	499
Shaheen Khan United States	7	330 0.9×	294 1.6×	88 1.0×	46 0.6×	27 0.7×	10	550
Adrienn Volak United States	9	759 2.1×	167 0.9×	337 4.0×	53 0.7×	51 1.4×	9	954
Marie Teixeira France	13	374 1.0×	120 0.6×	142 1.7×	15 0.2×	17 0.5×	26	596
Maryna V. Ivanchenko United States	9	264 0.7×	209 1.1×	64 0.8×	56 0.7×	33 0.9×	10	372
Devin S. McDougald United States	10	262 0.7×	174 0.9×	68 0.8×	65 0.8×	35 0.9×	11	404
Sarah Wassmer United States	7	411 1.1×	174 0.9×	178 2.1×	60 0.8×	46 1.2×	18	565
Theru A. Sivakumaran United States	7	188 0.5×	218 1.2×	59 0.7×	97 1.2×	41 1.1×	12	441
Fangzhi Tan China	13	423 1.2×	320 1.7×	46 0.5×	70 0.9×	43 1.2×	27	656
Meghan C. Drummond United States	8	242 0.7×	271 1.4×	48 0.6×	61 0.8×	21 0.6×	10	409
Arnaud P. J. Giese United States	11	248 0.7×	224 1.2×	42 0.5×	42 0.5×	24 0.6×	13	438

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-authorship network of co-authors of Verónica Lamas

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Lamas. A scholar is included among the top collaborators of Verónica Lamas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Verónica Lamas. Verónica Lamas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Tao, Yong, Verónica Lamas, Wan Du, et al.. (2023). Treatment of monogenic and digenic dominant genetic hearing loss by CRISPR-Cas9 ribonucleoprotein delivery in vivo. Nature Communications. 14(1). 4928–4928. 29 indexed citations

2.

Pendse, Nachiket, Verónica Lamas, Basil S. Pawlyk, et al.. (2019). In Vivo Assessment of Potential Therapeutic Approaches for USH2A-Associated Diseases. Advances in experimental medicine and biology. 91–96. 24 indexed citations

3.

Lamas, Verónica, et al.. (2017). Stereotactically-guided Ablation of the Rat Auditory Cortex, and Localization of the Lesion in the Brain. Journal of Visualized Experiments. 5 indexed citations

4.

Lamas, Verónica, et al.. (2017). Stereotactically-guided Ablation of the Rat Auditory Cortex, and Localization of the Lesion in the Brain. Journal of Visualized Experiments. 1 indexed citations

5.

Gao, Xue, Yong Tao, Verónica Lamas, et al.. (2017). Treatment of autosomal dominant hearing loss by in vivo delivery of genome editing agents. Nature. 553(7687). 217–221. 410 indexed citations breakdown →

6.

Lamas, Verónica, José M. Juı́z, & Miguel Á. Merchán. (2017). Ablation of the auditory cortex results in changes in the expression of neurotransmission-related mRNAs in the cochlea. Hearing Research. 346. 71–80. 11 indexed citations

7.

Lamas, Verónica, Juan Carlos Alvarado, Juan Carro, & Miguel Á. Merchán. (2013). Long-Term Evolution of Brainstem Electrical Evoked Responses to Sound after Restricted Ablation of the Auditory Cortex. PLoS ONE. 8(9). e73585–e73585. 19 indexed citations

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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