Innovative Research Award
Instituto Tecnológico Superior de Calkiní
| Rosa Yazmín Us Camas | |
|---|---|
| Affiliation | Instituto Tecnológico Superior de Calkiní |
| Country | Mexico |
| Scopus ID | 55926706500 |
| Documents | 15 |
| Citations | 409 |
| h-index | 9 |
| Subject Area | Bioinformatics Databases |
| Event | International Database Scientist Awards |
| ORCID | 0000-0003-1300-8952 |
Rosa Yazmín Us Camas is a researcher affiliated with Instituto Tecnológico Superior de Calkiní, Mexico, whose academic work contributes to the advancement of bioinformatics databases and related computational methodologies. Her scholarly profile demonstrates sustained engagement in research activities, scientific publication, and knowledge dissemination within interdisciplinary domains that connect biological sciences and information technologies. Through peer-reviewed publications, citation impact, and academic collaboration, her work has contributed to the development and application of data-driven approaches for scientific investigation and innovation.[1][2]
Abstract
This article presents an academic overview of Rosa Yazmín Us Camas and her contributions within the field of bioinformatics databases. The profile examines her research activity, publication record, citation metrics, and scholarly influence. Particular attention is given to her involvement in interdisciplinary research areas that integrate computational tools with biological data analysis. The evaluation is intended to provide an objective overview of her academic achievements and relevance to international scientific recognition programs.[1]
Keywords
Bioinformatics Databases, Computational Biology, Scientific Research, Data Analysis, Information Systems, Research Metrics, Scholarly Publications, Citation Impact, Database Science, Academic Recognition.
Introduction
The growth of biological data has significantly increased the importance of bioinformatics databases in modern scientific research. Researchers working within this field contribute to the organization, accessibility, interpretation, and management of large-scale datasets. Rosa Yazmín Us Camas has participated in research activities associated with these objectives through academic publications and collaborative investigations. Her work reflects the broader trend toward integrating information technology with life sciences to support evidence-based research and scientific discovery.[1][3]
Research Profile
Rosa Yazmín Us Camas is affiliated with Instituto Tecnológico Superior de Calkiní in Mexico. Her scholarly record indexed through Scopus reflects a portfolio of scientific publications that have received substantial attention within the academic community. With 15 indexed documents, 409 citations, and an h-index of 9, her research demonstrates measurable academic visibility and engagement among fellow researchers.[1]
Research Contributions
The research contributions associated with Rosa Yazmín Us Camas focus on the application of scientific methodologies that support biological data management, analysis, and interpretation. Bioinformatics databases serve as essential infrastructure for modern research, facilitating data sharing, reproducibility, and advanced computational investigation. Contributions in this field often include database development, data curation, analytical frameworks, and the integration of biological information resources.[3]
Publications
The publication portfolio of Rosa Yazmín Us Camas reflects active participation in scholarly communication. Publications indexed within international databases contribute to scientific visibility, facilitate knowledge exchange, and support ongoing developments within bioinformatics and related disciplines. Citation performance indicates that her research outputs have been referenced by other scholars, demonstrating relevance within the broader academic literature.[1]
Research Impact
Research impact is frequently assessed through publication productivity, citation performance, and scholarly influence. With 409 citations and an h-index of 9, Rosa Yazmín Us Camas has established a measurable research presence within her field. Citation metrics indicate that her published work has contributed to ongoing academic discussions and has been utilized by researchers in related disciplines. Such indicators are commonly employed to evaluate the dissemination and influence of scientific outputs.[1]
Award Suitability
The International Database Scientist Awards recognize individuals whose research contributes to the advancement of database science and related technologies. Based on publicly available scholarly indicators, Rosa Yazmín Us Camas demonstrates several characteristics relevant to award consideration, including a documented publication record, citation impact, interdisciplinary engagement, and sustained research activity. Her contributions align with the objectives of scientific recognition programs that emphasize research quality, academic influence, and innovation within data-centric scientific fields.[1][4]
Conclusion
Rosa Yazmín Us Camas represents an active contributor to research within the area of bioinformatics databases. Her scholarly profile, publication record, citation performance, and interdisciplinary focus demonstrate meaningful engagement with contemporary scientific challenges involving biological data and computational methodologies. The available evidence supports recognition of her academic contributions and highlights her relevance within international scientific communities and award programs focused on database science and innovation.[1][2]
External Links
References
- Elsevier. (n.d.). Scopus author details: Rosa Yazmín Us Camas, Author ID 55926706500. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55926706500 - ORCID. (n.d.). ORCID profile of Rosa Yazmín Us Camas.
https://orcid.org/0000-0003-1300-8952 - The Nucleic Acids Research Database Issue. (2021). Database resources and bioinformatics infrastructure.
DOI: https://doi.org/10.1093/nar/gkaa1028 - International Database Scientist Awards. (n.d.). Award information and evaluation framework.
https://databasescientist.org/