Nafeesa Shahid | Artificial Intelligence | Cancer Research Excellence Award

Cancer Research Excellence Award

Nafeesa Shahid — Queensland University of Technology, Australia

Nafeesa Shahid
Affiliation Queensland University of Technology
Country Australia
Google Scholar ID UsSNpJcAAAAJ
Documents 3
Citations 49
h-index 1
Subject Area Artificial Intelligence
Event The Scientist Global Awards

Nafeesa Shahid is affiliated with Queensland University of Technology in Australia and is associated with research in the subject area of Artificial Intelligence. The supplied academic profile records 3 documents, 49 citations, and an h-index of 1. [1]

Abstract

The Cancer Research Excellence Award profile presented here documents the academic information supplied for Nafeesa Shahid, affiliated with Queensland University of Technology, Australia. The stated subject area is Artificial Intelligence, with the supplied profile recording 3 documents, 49 citations, and an h-index of 1. [1]

Keywords

Artificial Intelligence, Cancer Research, Computational Research, Research Excellence, Scholarly Impact, Academic Recognition

Introduction

Artificial intelligence has become an important methodological area across biomedical and cancer-related research. Computational techniques can support the analysis of complex datasets, pattern recognition, prediction, classification, and other research tasks. The intersection of artificial intelligence and cancer research is consequently multidisciplinary, involving computational methods, biomedical information, statistical approaches, and domain-specific validation. [1]

Research Profile

Nafeesa Shahid is a researcher affiliated with Queensland University of Technology, Australia, with a research focus in Artificial Intelligence. Her academic profile records 3 documents, 49 citations, and an h-index of 1. [1]

Research Contributions

The supplied profile places Shahid’s academic work within Artificial Intelligence. In a cancer research context, artificial intelligence can encompass computational techniques for processing biomedical information, identifying patterns within complex datasets, supporting classification or prediction tasks, and developing analytical approaches for research applications. [1]

Publications

The supplied profile records 3 documents associated with the Google Scholar profile identified as UsSNpJcAAAAJ. Because publication titles, journal details, publication years, and individual DOI identifiers were not included in the supplied input data, no unsupported publication-specific bibliographic information is added here. The linked Google Scholar profile provides access to the listed scholarly works. [1]

Research Impact

The supplied Google Scholar information reports 49 citations and an h-index of 1. Citation counts and h-index values are bibliometric indicators that provide quantitative information about the visibility of scholarly publications, but they do not independently establish research quality, methodological validity, originality, or societal significance. [1]

Award Suitability

The Cancer Research Excellence Award is associated with The Scientist Global Awards according to the supplied information. Shahid’s institutional affiliation, stated subject area, publication record, citation count, and h-index provide identifiable elements of an academic profile that can be considered within an award nomination or recognition process. [1]

Conclusion

Nafeesa Shahid’s supplied academic profile identifies Queensland University of Technology in Australia as the institutional affiliation and Artificial Intelligence as the subject area. The profile records 3 documents, 49 citations, and an h-index of 1. [1]

References

  1. Google Scholar: Nafeesa Shahid, Author Profile and Publication Record. Profile Identifier: UsSNpJcAAAAJ. Accessible via Google Scholar.
    https://scholar.google.com/citations?view_op=list_works&hl=en&user=UsSNpJcAAAAJ
  2. The Scientist Global Awards. Official award website.
    https://thescientists.net/

Yinfeng Yang | Artificial Intelligence | Research Excellence Award

Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence | Research Excellence Award

Deputy Director | School of Medical Informatics Engineering, Anhui University of Chinese Medicine | China

Dr. Yinfeng Yang is a distinguished researcher at Anhui University of Chinese Medicine, known for impactful contributions at the interface of traditional Chinese medicine, molecular pharmacology, and bioinformatics-driven disease mechanism analysis. His academic influence is demonstrated by 5,738 citations, 45 publications, and an h-index of 18, underscoring his growing global recognition in biomedical research. Dr. Yang’s work spans cancer biology, immunometabolism, and natural-product-based therapeutics, with recent studies exploring the clinicopathological relevance of BRCA1 in gastric cancer, mitochondrial pathways in rheumatoid arthritis, and angiogenesis-targeting mechanisms of Ginkgo biloba leaves. His research integrates advanced computational tools, systems pharmacology, and machine learning to decode complex biological networks and accelerate drug discovery particularly in ADMET prediction and precision therapeutic strategies. With more than 120 co-authors and interdisciplinary collaborations across oncology, pharmacology, and traditional medicine, Dr. Yang has built a broad scientific network that strengthens the translational potential of his findings. His publications in high-impact journals and open-access platforms contribute to global knowledge accessibility while supporting evidence-based modernization of traditional Chinese medicine. Dr. Yang’s work carries clear societal relevance, offering novel insights for developing safer, more effective treatments for chronic inflammatory diseases and gastrointestinal cancers. His sustained research output and increasing citation impact position him as a valuable contributor to global biomedical innovation and integrative medicine research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Ru, J., Li, P., Wang, J., Zhou, W., Li, B., Huang, C., Li, P., Guo, Z., Tao, W., Yang, Y., … (2014). TCMSP: A database of systems pharmacology for drug discovery from herbal medicines. Journal of Cheminformatics, 6(1), 13. Cited by: 5,020

  2. Qian, S., Wei, Z., Yang, W., Huang, J., Yang, Y., & Wang, J. (2022). The role of BCL-2 family proteins in regulating apoptosis and cancer therapy. Frontiers in Oncology, 12, 985363. Cited by: 876

  3. Yang, Y., Li, Y., Wang, J., Sun, K., Tao, W., Wang, Z., Xiao, W., Pan, Y., Zhang, S., … (2017). Systematic investigation of Ginkgo biloba leaves for treating cardio-cerebrovascular diseases in an animal model. ACS Chemical Biology, 12(5), 1363–1372. Cited by: 99

  4. Li, Y., Gao, W., Li, F., Wang, J., Zhang, J., Yang, Y., Zhang, S., & Yang, L. (2013). An in silico exploration of the interaction mechanism of pyrazolo[1,5-a]pyrimidine-type CDK2 inhibitors. Molecular BioSystems, 9(9), 2266–2281. Cited by: 53

  5. Li, Y., Wang, J., Xiao, Y., Wang, Y., Chen, S., Yang, Y., Lu, A., & Zhang, S. (2015). A systems pharmacology approach to investigate the mechanisms of action of Semen Strychni and Tripterygium wilfordii Hook F for treatment of rheumatoid arthritis. Journal of Ethnopharmacology, 175, 301–314. Cited by: 51