Innovative Research Award
Dong Soo Lee
College of Medicine, The Catholic University of Korea
The Innovative Research Award recognizes research contributions that demonstrate originality, methodological rigor, and potential value to scientific knowledge. This article presents a research profile of Dong Soo Lee, affiliated with the College of Medicine, These indicators provide a quantitative overview of indexed scholarly output and citation activity, although they do not independently establish research quality or award eligibility. The profile contextualizes computational genomics within contemporary biomedical research and outlines considerations for evaluating innovation, reproducibility, and potential scientific impact.[1]
Abstract
Computational genomics applies computational methods to genomic information to investigate biological variation, molecular mechanisms, and relationships between genetic features and biological outcomes. This article summarizes the supplied research profile of Dong Soo Lee, whose institutional affiliation is the College of Medicine, The Catholic University of Korea, South Korea. The reported scholarly indicators comprise 56 documents, 841 citations, and an h-index of 19. These figures offer a descriptive perspective on publication and citation activity. The profile also considers the relevance of reproducible analysis, robust data interpretation, interdisciplinary collaboration, and transparent research methods when assessing scientific contributions and potential suitability for recognition through the Innovative Research Award.[1]
Keywords
Computational genomics; bioinformatics; genomic data analysis; biomedical research; statistical genetics; reproducible science; research innovation; bibliometrics; scientific collaboration; Innovative Research Award. [3]
Introduction
Computational genomics integrates computational biology, statistics, and genomic technologies to extract meaningful information from complex biological datasets. Its applications include sequence analysis, variant interpretation, gene regulation, and the investigation of molecular systems. Reliable findings depend on appropriate analytical methods, transparent reporting, and independent validation. Established bioinformatics literature emphasizes the importance of computational tools and reproducible workflows in modern biological research. [2] Within this context, research recognition should consider the originality and reliability of an individual’s documented contributions rather than relying exclusively on publication or citation totals.
Research Profile
Dong Soo Lee is identified in the supplied information as affiliated with the College of Medicine, The Catholic University of Korea, in South Korea. The stated subject area for this profile is computational genomics. The provided Scopus identifier is 57811935400, and the ORCID identifier is 0000-0001-7880-8147. These identifiers offer routes for locating researcher records and distinguishing scholarly profiles. The affiliation and subject-area details are presented as supplied and should be checked against current institutional and researcher records before formal publication. [1] [3]
Research Contributions
Contributions in computational genomics may include developing analytical pipelines, integrating heterogeneous genomic datasets, improving statistical interpretation, and applying computational techniques to biomedical questions. Such work can support the identification of biological patterns and the generation of testable hypotheses. Assessing an individual researcher’s contributions requires examining specific publications, methodological innovations, authorship roles, validation practices, and documented applications. General developments in genomic analysis provide the scientific context for this assessment, but they should not be attributed to a particular researcher without supporting publication-level evidence. [2] [4]
Publications
The supplied bibliometric summary reports 56 documents associated with the research profile. A publication-level assessment should verify article titles, publication venues, dates, author order, research methods, and relevance to computational genomics. The available input does not include a verified publication list, so individual papers, publication years, journal details, and digital object identifiers cannot be responsibly specified here. The linked Scopus author record is the appropriate starting point for reviewing indexed publications, subject classifications, and citation information. [1]
Research Impact
The reported 841 citations and h-index of 19 describe aspects of the supplied bibliometric profile. An h-index of 19 indicates that, under the dataset and counting method used, at least 19 indexed works have each received at least 19 citations. Citation counts may differ across databases and can change over time. They are influenced by field practices, publication age, collaboration, and database coverage, and should therefore be interpreted alongside research quality, methodological soundness, and demonstrated scientific or practical contributions. [1] [5]
Award Suitability
The Innovative Research Award of the Computational Biologists Awards provides a recognition context for evaluating originality, research rigor, and contributions to scientific advancement. The supplied publication and citation indicators may serve as background information during an assessment, but they are insufficient to establish award eligibility or confirm a selection outcome. A balanced review should examine the candidate’s verified research outputs, originality, reproducibility, individual contributions, relevance to computational biology, and potential scientific impact. Final suitability should be determined by the award committee using its published criteria and independently verifiable evidence.
Conclusion
The supplied information identifies Dong Soo Lee with the College of Medicine, The Catholic University of Korea, and a stated research focus in computational genomics. The reported metrics of 56 documents, 841 citations, and an h-index of 19 provide a concise bibliometric overview, subject to verification against current database records. A rigorous account of research achievement should also document individual publications, methodological contributions, reproducibility, and evidence of scientific influence. These elements provide a stronger basis for evaluating research innovation than quantitative indicators alone and support a transparent approach to academic recognition.
External Links
References
- Elsevier. (n.d.). Scopus author details: Dong Soo Lee, Author ID 57811935400. Scopus. Researcher metrics and publication information should be verified against the current record.
https://www.scopus.com/authid/detail.uri?authorId=57811935400
- Journal article (2026. ) Prediction of Tumor Complete Response Using Genomic and Clinical Data in Solid Cancer Undergoing Definitive Radiation Therapy.
https://doi.org/10.3390/ijms27208991
- ORCID. (n.d.). Dong Soo Lee: ORCID researcher record. ORCID.
https://orcid.org/0000-0001-7880-8147
- Journal article (2023. ) Association between gut microbial change and acute gastrointestinal toxicity in patients with prostate cancer receiving definitive radiation therapy.
https://doi.org/10.1002/cam4.6636
- Computational Biologists Awards. (2026. ) Computational Biologists Awards.
https://computationalbiologists.com/