Raquel Dias

2.6k total citations
44 papers, 1.6k citations indexed

About

Raquel Dias is a scholar working on Molecular Biology, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Raquel Dias has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cognitive Neuroscience and 9 papers in Sensory Systems. Recurrent topics in Raquel Dias's work include Hearing, Cochlea, Tinnitus, Genetics (9 papers), Hearing Loss and Rehabilitation (8 papers) and Computational Drug Discovery Methods (7 papers). Raquel Dias is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (9 papers), Hearing Loss and Rehabilitation (8 papers) and Computational Drug Discovery Methods (7 papers). Raquel Dias collaborates with scholars based in United States, Brazil and Finland. Raquel Dias's co-authors include Walter Filgueira de Azevedo, Ali Torkamani, Bryan Kolaczkowski, Beau Norgeot, Brett K. Beaulieu‐Jones, Atul J. Butte, Bin Yu, Rima Arnaout, Eric J. Topol and Milena Gianfrancesco and has published in prestigious journals such as Nature Medicine, Nature Communications and PLoS ONE.

In The Last Decade

Raquel Dias

39 papers receiving 1.5k citations

Peers

Raquel Dias

CTM

GENET

Marie‐Dominique Devignes France

Dominik Heider Germany

Andrés Cubillos-Ruiz United States

Ian W. Andrews United States

W. Jim Zheng United States

Ilias Tagkopoulos United States

Simone Marini United States

Yifei Wang China

Jingyi Yang China

Jason F. Kreisberg United States

Marie‐Dominique Devignes France

Raquel Dias

1.0k ×1.4

206 ×0.9

CTM

200 ×0.9

GENET

146 ×0.7

51 ×0.2

Citations per year, relative to Raquel Dias Raquel Dias (= 1×) peers Marie‐Dominique Devignes

Countries citing papers authored by Raquel Dias

Since Specialization

Citations

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

Fields of papers citing papers by Raquel Dias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raquel Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Dias. A scholar is included among the top collaborators of Raquel Dias 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 Raquel Dias. Raquel Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ahrens, Angelica P., et al.. (2026). The inflammatory path toward type 1 diabetes begins during pregnancy. Nature Communications. 17(1). 979–979.

Crécy‐Lagard, Valérie de, et al.. (2025). Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins. G3 Genes Genomes Genetics. 15(10).

Silva, José Cleydson F., et al.. (2025). Challenges and Opportunities for New Frontiers and Technologies to Guarantee Food Production. Sustainability. 17(9). 3792–3792. 1 indexed citations

Dias, Raquel, et al.. (2025). A Phenome-Wide Comorbidity Atlas of Age-Related Hearing Loss, Speech-in-Noise Deficits, and Tinnitus: Distinguishing Causal Signals from Correlation. Journal of the Association for Research in Otolaryngology. 26(6). 715–737.

Dias, Raquel, et al.. (2024). Assessment of soil bacterial communities in integrated crop production systems within the Amazon Biome, Brazil: a comparative study. Brazilian Journal of Microbiology. 55(3). 2815–2825.

Garay, Juan A. Raygoza, et al.. (2024). DNA Methylation Patterns Associated with Tinnitus in Young Adults—A Pilot Study. Journal of the Association for Research in Otolaryngology. 25(5). 507–523. 1 indexed citations

Garay, Juan A. Raygoza, et al.. (2024). Polygenic Risk Score-Based Association Analysis Identifies Genetic Comorbidities Associated with Age-Related Hearing Difficulty in Two Independent Samples. Journal of the Association for Research in Otolaryngology. 25(4). 387–406. 2 indexed citations

Goodman, Shawn S., et al.. (2023). Polygenic Risk Score-Based Association Analysis of Speech-in-Noise and Hearing Threshold Measures in Healthy Young Adults with Self-reported Normal Hearing. Journal of the Association for Research in Otolaryngology. 24(5). 513–525. 4 indexed citations

Deshpande, Aniruddha K., et al.. (2023). Identifying Health-Related Conditions Associated with Tinnitus in Young Adults. Audiology Research. 13(4). 546–562. 2 indexed citations

10.

Sadaei, Hossein Javedani, Aldo Córdova‐Palomera, Jong Hun Lee, et al.. (2022). Genetically-informed prediction of short-term Parkinson’s disease progression. npj Parkinson s Disease. 8(1). 143–143. 10 indexed citations

11.

Dias, Raquel & Ali Torkamani. (2019). Artificial intelligence in clinical and genomic diagnostics. Genome Medicine. 11(1). 70–70. 254 indexed citations

12.

Hlavacek, William S., et al.. (2019). A Step-by-Step Guide to Using BioNetFit. Methods in molecular biology. 1945. 391–419. 2 indexed citations

13.

Dias, Raquel, et al.. (2018). Using both qualitative and quantitative data in parameter identification for systems biology models. Nature Communications. 9(1). 3901–3901. 14 indexed citations

14.

Simão, Taiz L. L., Adriana Giongo, K.A. Gano, et al.. (2017). Characterization of ciliate diversity in bromeliad tank waters from the Brazilian Atlantic Forest. European Journal of Protistology. 61(Pt B). 359–365. 20 indexed citations

15.

Azevedo, Walter Filgueira de, Raquel Dias, Luís Fernando Saraiva Macedo Timmers, et al.. (2009). Bioinformatics Tools for Screening of Antiparasitic Drugs. Current Drug Targets. 10(3). 232–239. 8 indexed citations

16.

Timmers, Luís Fernando Saraiva Macedo, Rafael Andrade Caceres, Raquel Dias, et al.. (2009). Molecular modeling, dynamics and docking studies of Purine Nucleoside Phosphorylase from Streptococcus pyogenes. Biophysical Chemistry. 142(1-3). 7–16. 6 indexed citations

17.

Dias, Raquel, Luís Fernando Saraiva Macedo Timmers, Rafael Andrade Caceres, & Walter Filgueira de Azevedo. (2008). Evaluation of Molecular Docking Using Polynomial Empirical Scoring Functions. Current Drug Targets. 9(12). 1062–1070. 35 indexed citations

18.

Pauli, Ivaní, et al.. (2008). Molecular Modeling as a Tool for Drug Discovery. Current Drug Targets. 9(12). 1084–1091. 16 indexed citations

19.

Azevedo, Walter Filgueira de & Raquel Dias. (2008). Evaluation of ligand-binding affinity using polynomial empirical scoring functions. Bioorganic & Medicinal Chemistry. 16(20). 9378–9382. 29 indexed citations

20.

Timmers, Luís Fernando Saraiva Macedo, Rafael Andrade Caceres, Lisandra M. Gava, et al.. (2008). Structural studies of human purine nucleoside phosphorylase: Towards a new specific empirical scoring function. Archives of Biochemistry and Biophysics. 479(1). 28–38. 26 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.

Explore authors with similar magnitude of impact