Kun-Long Hung | Personalized Medicine | Top Pharmaceutical Breakthrough Discovery Award

Top Pharmaceutical Breakthrough Discovery Award

Kun-Long Hung
Fu Jen Catholic University Hospital, Taiwan

Kun-Long Hung
Affiliation Fu Jen Catholic University Hospital
Country Taiwan
Scopus ID 7202728402
Documents 81
Citations 1,862
h-index 23
Subject Area Personalized Medicine
Event International Top Pharmaceutical Awards

Kun-Long Hung is a Taiwanese clinician and researcher associated with Fu Jen Catholic University Hospital. His scholarly record demonstrates sustained contributions to personalized medicine, pediatric neurology, genetic disorders, developmental diseases, and translational healthcare research. According to Scopus metrics, his publication portfolio includes more than eighty indexed documents and a substantial citation impact within the medical research community.[1]

Abstract

This article summarizes the academic profile and scientific achievements of Kun-Long Hung. His research activities have focused on personalized medicine approaches, pediatric neurological disorders, genetic diagnostics, and evidence-based clinical practice. Through multidisciplinary collaborations, he has contributed to improved understanding of rare diseases and patient-centered healthcare strategies.[1]

Keywords

Personalized Medicine, Pediatric Neurology, Genetic Disorders, Clinical Research, Rare Diseases, Translational Medicine, Precision Healthcare, Developmental Disorders, Neurogenetics, Medical Innovation.

Introduction

The advancement of personalized medicine depends on researchers who integrate clinical observations with scientific investigation. Kun-Long Hung has participated in studies addressing neurological and genetic conditions affecting children and families. His published work reflects an ongoing commitment to improving diagnostic accuracy and therapeutic decision-making in modern healthcare environments.[2]

Research Profile

Based in Taiwan, Hung has established a recognized publication record supported by 81 indexed documents, 1,862 citations, and an h-index of 23. His research portfolio spans neurodevelopmental disorders, pediatric epilepsy, genetic syndromes, and precision medicine applications. These metrics indicate consistent scholarly engagement and meaningful influence across multiple areas of clinical medicine.[1]

Research Contributions

Hung has contributed to investigations involving developmental delay, neurofibromatosis, Dravet syndrome, tubulinopathy, and other neurological disorders. His work frequently combines genetic evaluation with clinical assessment to support individualized treatment planning. Such contributions align closely with contemporary precision medicine objectives and patient-focused healthcare models.[3]

Publications

Among his notable publications are studies on neurofibromatosis management in Taiwan, neurological manifestations of SARS-CoV-2 infection in children, developmental delay diagnostics, and rare genetic disorders. These publications demonstrate continued participation in clinically relevant research that addresses both local and international healthcare challenges while supporting evidence-based practice.[2]

Research Impact

The citation performance associated with Hung’s publications reflects engagement from researchers across medical and scientific disciplines. His studies have contributed to discussions involving diagnosis, disease management, and long-term outcomes in pediatric populations. This influence supports continued visibility within international biomedical literature and healthcare research communities.[1]

Award Suitability

The International Top Pharmaceutical Awards recognize researchers whose work advances healthcare innovation and scientific understanding. Hung’s contributions to personalized medicine, combined with his publication record and citation impact, align with the objectives of recognizing meaningful research achievements. His work illustrates the integration of clinical expertise and translational investigation.[4]

Conclusion

Kun-Long Hung has developed a substantial academic profile through research focused on pediatric neurology, genetic medicine, and individualized healthcare. His scientific contributions, publication metrics, and collaborative activities demonstrate continued involvement in advancing medical knowledge. These achievements provide a strong foundation for recognition within international research and healthcare award programs.

References

  1. Elsevier. (n.d.). Scopus Author Profile: Hung, K. L. (Author ID: 7202728402). Scopus. https://www.scopus.com/authid/detail.uri?authorId=7202728402
  2. Chu, Y. J., Wong, L. C., Ho, C. S., Lee, W. T., & Hung, K. L. (2024). Neurological manifestations of SARS-CoV-2 infection in children in Taiwan: A cross-sectional multicenter study. Journal of the Formosan Medical Association. https://doi.org/10.1016/j.jfma.2024.01.001
  3. Huang, C. S., Hung, P. L., Fan, P. C., Lee, W. T., & Hung, K. L. (2021). Clinical spectrum and comorbidities of Dravet syndrome in Taiwan and possible molecular mechanisms. Scientific Reports, 11, Article 15092. https://pubmed.ncbi.nlm.nih.gov/34642351/
  4. Hung, K. L., Lu, J. F., Su, D., Hsu, S., & Wong, L. C. (2022). Tubulinopathy presenting as developmental and epileptic encephalopathy. Children, 9(11), 1663. https://doi.org/10.3390/children9111663
  5. Liang, J. S., Hung, K. L., Lin, L., Keng, W. T., & Lu, J. F. (2023). Novel PEX1 mutations in fibroblasts from children with Zellweger spectrum disorders exhibit temperature-sensitive characteristics. Epilepsy & Behavior, 147, 109387. https://doi.org/10.1016/j.yebeh.2023.109387

Assist Prof Dr.Francesco Asnica, Personalized Medicine,Best Researcher Award

Assist Prof Dr.Francesco Asnica,Personalized Medicine ,Best Researcher Award

Assist Prof Dr.Francesco Asnica, at Department CIBIO, University of TrentDepartment CIBIO, University of Trento,Italy

Author Profile

 

Education

  • Ph.D. in Information Technology – Transdisciplinary Programme in Computational Biology (cum laude), University of Trento, Italy (May 2019)
    • Thesis: “A phylogenetic framework for large-scale analysis of microbial communities”
    • Supervisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Master of Science in Computer Science, University of Trento, Italy (October 2014)
    • Thesis: “PhyloPhlAn2 and GraPhlAn: novel reconstruction and visualization tools for large-scale whole-genome phylogenomics”
    • Supervisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Bachelor of Science in Computer Science, University of Trento, Italy (March 2012)
    • Thesis: “Installazione e Test di Estensioni Grafiche Real-time per Debian GNU/Linux”
    • Supervisor: Prof. Luca Abeni

Awards and Honors

  • Highly Cited Researcher 2023 & 2022 in Cross-Field by Clarivate™
  • Member of the Gruppo 2003 per la Ricerca Scientifica since 2023
  • Euregio Young Researcher Award 2022 (Second Place)
  • Co-recipient of the X PRÊMIO 2019 – Prêmio Octavio Frias de Oliveira
  • Doctor Darwin Prize 2017

Fellowships & Scholarships

  • Travel Grant for BITS 2018
  • Summer School Grant for the Second European Summer School on Nutrigenomics 2016
  • Travel Scholarship for ISMB/ECCB 2015

Invited Talks

Dr. Asnicar has delivered numerous invited talks at prestigious conferences and symposiums, including:

  • 9th Central European Congress of Life Sciences Eurobiotech 2024
  • 10th International Human Microbiome Consortium Congress 2024
  • IBS Days 2024
  • DF/HCC Microbiome Symposium Workshop 2024
  • 6th HCMPH Annual Symposium – Microbiome and Cancer 2024

Organized Workshops

  • Workshop on Data Standards, Interoperability, and Model Organisms in Microbiome Research (2023)
  • Workshop on Establishing Consensus for Microbiome Analysis Standards (2023)

🎓Publication Top Noted:

Paper Title : QIIME 2: reproducible, interactive, scalable, and extensible microbiome data science. PeerJ

  • Authors: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, H Alexander, EJ Alm, M Arumugam, F Asnicar, Y Bai, JE Bisanz, K Bittinger, A Brejnrod, CJ Brislawn, CT Brown, BJ Callahan, AM Caraballo-Rodríguez, J Chase, JG Caporaso
  • Journal:Inc
  • Year: 2018
Paper Title : Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals
    • Authors :  Francesco Asnicar, Sarah E Berry, Ana M Valdes, Long H Nguyen, Gianmarco Piccinno, David A Drew, Emily Leeming, Rachel Gibson, Caroline Le Roy, Haya Al Khatib, Lucy Francis, Mohsen Mazidi, Olatz Mompeo, Mireia Valles-Colomer, Adrian Tett, Francesco Beghini, Leonard Dubois, Davide Bazzani, Andrew Maltez Thomas, Chloe Mirzayi, Asya Khleborodova, Sehyun Oh, Rachel Hine, Christopher Bonnett, Joan Capdevila, Serge Danzanvilliers, Francesca Giordano, Ludwig Geistlinger, Levi Waldron, Richard Davies, George Hadjigeorgiou, Jonathan Wolf, José M Ordovás, Christopher Gardner, Paul W Franks, Andrew T Chan, Curtis Huttenhower, Tim D Spector, Nicola Segata
    • Journal:Nature medicine
    • Year: 2021
Paper Title :Human postprandial responses to food and potential for precision nutrition
  • Authors: Sarah E Berry, Ana M Valdes, David A Drew, Francesco Asnicar, Mohsen Mazidi, Jonathan Wolf, Joan Capdevila, George Hadjigeorgiou, Richard Davies, Haya Al Khatib, Christopher Bonnett, Sajaysurya Ganesh, Elco Bakker, Deborah Hart, Massimo Mangino, Jordi Merino, Inbar Linenberg, Patrick Wyatt, Jose M Ordovas, Christopher D Gardner, Linda M Delahanty, Andrew T Chan, Nicola Segata, Paul W Franks, Tim D Spector
  • Journal:Nature medicine
  • Year:2020
Paper Title :Strain-level microbial epidemiology and population genomics from shotgun metagenomics
  • Authors: Matthias Scholz, Doyle V Ward, Edoardo Pasolli, Thomas Tolio, Moreno Zolfo, Francesco Asnicar, Duy Tin Truong, Adrian Tett, Ardythe L Morrow, Nicola Segata
  • Journal:Nature methods
  • Year: 2016

Paper Title :Ketogenic diet and ketone bodies enhance the anticancer effects of PD-1 blockade

  • Authors: Gladys Ferrere, Maryam Tidjani Alou, Peng Liu, Anne-Gaëlle Goubet, Marine Fidelle, Oliver Kepp, Sylvère Durand, Valerio Iebba, Aurélie Fluckiger, Romain Daillère, Cassandra Thelemaque, Claudia Grajeda-Iglesias, Carolina Alves Costa Silva, Fanny Aprahamian, Déborah Lefevre, Liwei Zhao, Bernhard Ryffel, Emeline Colomba, Monica Arnedos, Damien Drubay, Conrad Rauber, Didier Raoult, Francesco Asnicar, Tim Spector, Nicola Segata, Lisa Derosa, Guido Kroemer, Laurence Zitvogel
  • Journal: JCI insight
  • Year: 2021