Marko Radulovic | Precision Medicine | Research Excellence Award

Research Excellence Award – Marko Radulovic

Marko Radulovic

Institute for Oncology and Radiology, Serbia

Marko Radulovic
Affiliation Institute for Oncology and Radiology
Country Serbia
Scholar ID 9GWuJvAAAAAJ
Documents 91
Citations 2,347
h-index 25
Subject Area Precision Medicine
Event Global Scientist Day Awards

Marko Radulovic of the Institute for Oncology and Radiology, Serbia, has established a notable academic profile through extensive research activity, a substantial publication record, and significant citation impact within the field of Precision Medicine.[1] His body of work reflects continued engagement with translational and clinical research aimed at improving healthcare outcomes through evidence-based scientific inquiry.[2]

Abstract

This article presents an academic recognition profile of Marko Radulovic in consideration for the Research Excellence Award. The assessment is based on publicly available scholarly indicators, including publication productivity, citation performance, research influence, and disciplinary engagement in Precision Medicine. With 91 indexed scholarly documents, 2,347 citations, and an h-index of 25, his academic record demonstrates sustained scientific contribution and measurable impact within oncology-related and precision healthcare research domains.[1]

Keywords

Precision Medicine; Oncology Research; Clinical Translation; Cancer Studies; Research Excellence Award; Scientific Impact; Citation Analysis; Healthcare Innovation.

Introduction

Precision Medicine has emerged as a transformative area of modern healthcare by integrating molecular biology, clinical diagnostics, and patient-specific therapeutic strategies. Researchers operating within this field contribute to the development of individualized treatment approaches that improve clinical outcomes and optimize healthcare resources.[3] Marko Radulovic’s research activities align with these objectives through scholarly work that supports evidence-based advancement in cancer diagnosis, treatment optimization, and translational medicine.[2]

Research Profile

Marko Radulovic is affiliated with the Institute for Oncology and Radiology in Serbia, an institution recognized for its involvement in cancer research and clinical care. His scholarly profile demonstrates sustained participation in scientific publishing and multidisciplinary collaboration. The available bibliometric indicators suggest broad engagement with the international scientific community and a consistent record of knowledge dissemination.[1]

  • Affiliation: Institute for Oncology and Radiology
  • Country: Serbia
  • Subject Area: Precision Medicine
  • Documents: 91
  • Citations: 2,347
  • h-index: 25

Research Contributions

The scientific contributions associated with Marko Radulovic encompass areas relevant to oncology, personalized treatment strategies, clinical research methodologies, and translational medicine. His work contributes to the understanding of disease mechanisms and supports the integration of scientific discoveries into healthcare practice.[2]

  • Advancement of precision-based clinical approaches.
  • Contribution to oncology-related scientific literature.
  • Support for evidence-driven patient management strategies.
  • Participation in collaborative and multidisciplinary research initiatives.
  • Dissemination of findings through peer-reviewed scholarly publications.

Publications

The research portfolio of Marko Radulovic includes 91 scholarly documents indexed through major academic databases. These publications collectively contribute to the advancement of knowledge in precision medicine and oncology-related disciplines.[1]

  1. Peer-reviewed research articles.
  2. Clinical and translational research studies.
  3. Collaborative multidisciplinary publications.
  4. Scientific communications addressing precision healthcare challenges.

Research Impact

Research impact may be assessed through scholarly visibility, citation performance, and influence on subsequent investigations. With 2,347 citations and an h-index of 25, Marko Radulovic’s work has demonstrated measurable recognition within the scientific community.[1] These indicators suggest that his publications have contributed to ongoing academic discourse and have informed related areas of biomedical research.[2]

Award Suitability

Based on available academic metrics and evidence of sustained scholarly activity, Marko Radulovic demonstrates characteristics commonly associated with candidates for research recognition programs. His publication record, citation influence, and contributions to precision medicine collectively support consideration for the Research Excellence Award. The combination of productivity, scientific impact, and disciplinary relevance reflects a mature and influential research profile.[1]

Conclusion

Marko Radulovic has developed a substantial academic record within the field of Precision Medicine through sustained research productivity and scholarly engagement. His documented achievements, publication output, and citation impact provide evidence of meaningful scientific contribution. These accomplishments align with the objectives of the Global Scientist Day Awards and support recognition through the Research Excellence Award.[1]

References

  1. Google Scholar. (n.d.). Marko Radulovic Citation Profile and Scholarly Metrics. Google Scholar. https://scholar.google.com/citations?user=9GWuJvAAAAAJ&hl=en&oi=ao
  2. Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder.
    https://ieeexplore.ieee.org/abstract/document/8664469
  3. Pharmacology and Biology of Corticotropin-Releasing Factor (CRF) Receptors.
    https://www.tandfonline.com/doi/abs/10.3109/10606820213678
  4. Corticotropin-Releasing Factor Receptor 1 in Mouse Spleen: Expression After Immune Stimulation and Identification of Receptor-Bearing Cells. https://academic.oup.com/jimmunol/article-abstract/162/5/3013/8041238

Samia ZAOUI | AI Advancements | Women Researcher Award

Mrs. Samia ZAOUI | AI Advancements | Women Researcher Award

Mrs. Samia ZAOUI | Mohammed VI Foundation of Health and Sciences | Morocco

Dr. Samia Zaoui, based in Rabat, Morocco, is a multidisciplinary researcher and project leader bridging artificial intelligence, aeronautics, and healthcare systems innovation. She is currently pursuing her Ph.D. in Computer Science Engineering (AI & Aeronautics) at the Higher Institute of Aeronautics and Space (ISAE-SUPAERO) and INP Toulouse, France. Her research focuses on the application of AI technologies for supply chain resilience, predictive modeling, and sustainable industrial systems, with a strong emphasis on pharmaceutical and healthcare logistics. Dr. Zaoui has an extensive background in strategic project development, digital transformation, and industrial management, having held leadership roles at the Mohammed VI Foundation of Health and Sciences and the Cheikh Zaid Foundation. She has spearheaded projects in sports medicine innovation, pharmaceutical manufacturing, and medical technology transfer, fostering collaborations with international organizations such as WHO, LCIF, and Smile Train. Her scientific contributions include several peer-reviewed publications in international journals, such as the Global Journal of Flexible Systems Management and Production Planning & Control, covering topics like AI-driven supply chain viability, sustainability in Industry 5.0, and pharmaceutical risk prediction using machine learning. Dr. Zaoui’s research integrates AI-based decision systems with aeronautical and industrial engineering principles, contributing to global efforts in intelligent, resilient, and sustainable supply networks. She also actively participates in international technology exhibitions and collaborative industrial initiatives across Europe, Asia, and Africa.

Profile: Google Scholar

Featured Publications

Zaoui, S., Foguem, C., Tchuente, D., Fosso-Wamba, S., & Kamsu-Foguem, B. (2023). The viability of supply chains with interpretable learning systems: The case of COVID-19 vaccine deliveries. Global Journal of Flexible Systems Management, 24(4), 633–657. https://doi.org/10.1007/s40171-023-00357-w

Zaoui, S., Foguem, C., Tchuente, D., & Kamsu-Foguem, B. (2025). The application of artificial intelligence technologies in the resilience and the viability of supply chains: A systematic literature review. Production Planning & Control, 1–18.

Zaoui, H., Zaoui, S., Kamsu-Foguem, B., & Tchuente, D. (2024). Sustainability: The main pillar of Industry 5.0. Oklahoma International Publishing (OkIP) Books. https://doi.org/10.55432/978-1-6692-0007-9_13

StEER – Structural Engineering Extreme Event Reconnaissance. (2024). Hualien City, Taiwan Earthquake: Preliminary Virtual Reconnaissance Report (PVRR). https://doi.org/10.17603/ds2-0d2z-9682