Seetharaman Balaji | Bioinformatics | Best Research Article Award

Best Research Article Award

Seetharaman Balaji
Manipal Academy of Higher Education – Manipal Campus

Seetharaman Balaji
Affiliation Manipal Academy of Higher Education – Manipal Campus
Country India
Scopus ID 56810674200
Documents 100
Citations 1,345
h-index 16
Subject Area Bioinformatics
Event International Invention Awards
ORCID 0000-0002-0557-4623

Seetharaman Balaji is a researcher affiliated with Manipal Academy of Higher Education – Manipal Campus, India, whose stated subject area is bioinformatics. The research profile supplied for this article reports 100 documents, 1,345 citations, and an h-index of 16 under Scopus author identifier 56810674200. These figures provide bibliometric indicators for describing scholarly output and citation activity, although they do not independently establish the quality or significance of individual publications. This article presents a structured overview of the research profile and its relevance to consideration for the Best Research Article Award at the International Invention Awards. [1]

Abstract

This article outlines the research profile of Seetharaman Balaji, affiliated with Manipal Academy of Higher Education – Manipal Campus, India, in the subject area of bioinformatics. The supplied Scopus profile records 100 documents, 1,345 citations, and an h-index of 16. These indicators offer a quantitative snapshot of publication output and citation visibility, but should be interpreted alongside research originality, methodological rigor, reproducibility, and practical or scientific relevance. The article describes potential areas of contribution, publication assessment, research impact, and suitability for consideration for the Best Research Article Award at the International Invention Awards, subject to verification of supporting evidence.[2]

Keywords

Seetharaman Balaji; bioinformatics; computational biology; research evaluation; bibliometrics; scientific publications; citation analysis; h-index; scholarly impact; Best Research Article Award; International Invention Awards; Manipal Academy of Higher Education.[1]

Introduction

Bioinformatics integrates biological knowledge with computational methods, statistical analysis, and data science to investigate complex biological systems. Its applications include sequence analysis, molecular biology, genomics, protein characterization, and the interpretation of large biological datasets. Research in this field depends on transparent analytical procedures, appropriate validation, and reproducible computational workflows. [2]

Research Profile

The supplied profile identifies Seetharaman Balaji as affiliated with Manipal Academy of Higher Education – Manipal Campus in India, with bioinformatics specified as the subject area. The provided Scopus author identifier is 56810674200, and the associated summary figures are 100 documents, 1,345 citations, and an h-index of 16. These details should be checked against the live Scopus author record before formal publication because indexing coverage, author-profile assignments, and citation counts can change over time. [1]

Research Contributions

Bioinformatics research can contribute to biological discovery through computational analysis, data integration, algorithm development, statistical modeling, and the interpretation of molecular information. Robust contributions generally include a clearly defined research question, suitable datasets, documented analytical procedures, appropriate comparison methods, and validation sufficient to support the conclusions. Reproducible workflows and transparent reporting are especially important when results depend on complex computational pipelines or large biological datasets. [2]

Publications

The supplied Scopus summary lists 100 documents associated with the researcher identifier. This figure is a profile-level count and should not be treated as a verified list of 100 research articles: indexed document types may vary, and author records can require correction or disambiguation. A publication review should examine article titles, authorship, journal or conference details, publication dates, DOI identifiers, and the relationship between each work and the nominated research area. [1]

Research Impact

The supplied citation count of 1,345 and h-index of 16 provide quantitative indicators of citation activity and publication influence within the indexed record. An h-index of 16 means that, under the dataset and counting rules used, at least 16 publications have received at least 16 citations each. Citation indicators are useful for describing scholarly visibility but are affected by discipline, career duration, publication type, database coverage, and citation practices. They should therefore be interpreted in context rather than as direct measures of research quality. [3]

Award Suitability

The supplied publication and citation indicators may provide useful background for consideration for the Best Research Article Award at the International Invention Awards. However, award suitability should primarily be determined by the quality and relevance of the nominated article, its originality, methodological soundness, strength of evidence, clarity of reporting, and significance to its research field. Transparent assessment criteria and consistent application of those criteria help ensure that scholarly recognition is grounded in documented merit. [4]

Conclusion

Seetharaman Balaji’s supplied profile identifies an affiliation with Manipal Academy of Higher Education – Manipal Campus, India, and a subject area of bioinformatics. The reported Scopus figures of 100 documents, 1,345 citations, and an h-index of 16 provide a quantitative overview of the indexed scholarly record. A meaningful assessment for the Best Research Article Award must go beyond these indicators to evaluate the nominated article’s originality, reliability, reproducibility, and contribution to scientific knowledge. Verification of the live author profile, publication details, and award requirements is necessary before treating the profile as a definitive record of achievements or recognition.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Seetharaman Balaji, Author ID 56810674200.
    https://www.scopus.com/authid/detail.uri?authorId=56810674200
  2. Journal article. (2026). A novel flower to film approach: design and CCD optimisation of starch-based bioplastics reinforced with Hibiscus rosa-sinensis fibre for green packaging.
    https://doi.org/10.1080/10667857.2026.2637957
  3. Journal article. (2025). Paper-based microextraction tool for the in vitro and eco-friendly detection and degradation of malathion pesticide from soybean seeds.
    https://doi.org/10.1039/d5ra06061c
  4. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/
  5. ORCID. (n.d.). ORCID researcher identifier and profile.
    https://orcid.org/0000-0002-0557-4623

Prof. Junyu Zhou | Medical and Prevention | Young Scientist Award

Prof. Junyu Zhou | Medical and Prevention | Young Scientist Award

Peking University, China.

Prof. Junyu Zhou is a pioneering researcher in nutritional genomics, metabolic disorders, and personalized medicine. He leverages bioinformatics, computational biology, and experimental approaches to explore gene-diet interactions, focusing on Asian populations. His innovative work includes developing AI models for bioactive compound prediction and uncovering gut microbiota's role in metabolic health. Junyu's recent research extends to natural compound discovery for neurodegenerative diseases, emphasizing computational screening with advanced AI techniques.

Profile

Scopus

Orcid

Education 🎓

Junyu Zhou holds advanced degrees in fields related to nutritional genomics and computational biology. His academic training provides a strong foundation for his cutting-edge research in metabolic disorders and personalized medicine.

Experience 💼

As an Assistant Researcher at Peking University, Junyu Zhou has led and collaborated on multiple groundbreaking projects. His experience spans computational modeling, experimental validations, and interdisciplinary collaborations with global research teams in metabolic diseases and nutritional genomics.

Research Interests 🔬

Nutritional Genomics 🧬

Junyu Zhou investigates gene-diet interactions to understand how genetic variations influence nutritional responses, particularly in Asian populations. His work aims to develop personalized dietary recommendations to improve health outcomes.

Metabolic Diseases 🩺

Focusing on conditions such as diabetes and obesity, Junyu studies the underlying mechanisms of metabolic disorders. His research integrates genetics and gut microbiota to unveil new therapeutic targets.

Computational Biology & Bioinformatics 💻

Junyu applies advanced computational tools to analyze genetic data and predict drug-target interactions. His expertise in bioinformatics helps bridge data science and biology for innovative discoveries.

Gut Microbiota 🌱

Exploring the role of gut microbiota in metabolic health, Junyu's research uncovers microbial contributions to diseases and identifies probiotic strategies for improved metabolic functions.

Natural Product Research 🌿

Junyu's work includes computational screening of natural compounds, focusing on their potential to treat diseases such as Alzheimer's and neurodegenerative disorders.

Personalized Medicine 🩹

By integrating genomics and computational biology, Junyu develops precision healthcare approaches, tailoring interventions to individual genetic and metabolic profiles.

Machine Learning in Drug Discovery 🤖

Junyu employs AI-driven techniques to streamline drug discovery processes. His work includes predictive models for bioactive compounds, enhancing efficiency in identifying new therapeutic agents.

Publications Top Notes 📚

Microbial Dysbiosis Linked to Metabolic Dysfunction-Associated Fatty Liver Disease in Asians: Prevotella copri Promotes Lipopolysaccharide Biosynthesis and Network Instability in the Prevotella Enterotype, Published in: International Journal of Molecular Sciences, 2024, Contributors: Yuan, H.; Wu, X.; Wang, X.; Zhou, J.-Y.; Park, S. Link

Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysis, Published in: Food & Function, 2024, Contributors: Junyu Zhou; Heng Yuan; Sunmin Park. Link

Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction Risk, Published in: Nutrients, December 11, 2024, Contributors: Junyu Zhou; Meiling Liu; Sunmin Park. Link