Best Researcher Award
Xiangwei Wang
Fudan University, Shanghai Cancer Center | China
| Xiangwei Wang | |
|---|---|
| Affiliation | Fudan University, Shanghai Cancer Center |
| Country | China |
| Scopus ID | 58237446500 |
| Documents | 11 |
| Citations | 102 |
| h-index | 5 |
| Subject Area | AI-Assisted Nuclear Medicine Drug Development |
| Event | International Forensic Scientist Awards |
Xiangwei Wang is a researcher affiliated with Fudan University, Shanghai Cancer Center, China. His research profile includes work related to AI-assisted nuclear medicine drug development, an interdisciplinary field connecting computational approaches, molecular targeting, radiotracer development and cancer imaging. His co-authorship of a 2026 open-access article in the Journal of Nanobiotechnology provides a specific research contribution through which this scientific focus can be examined. [1]
Contents
Abstract
Xiangwei Wang’s research profile is associated with emerging approaches to nuclear medicine and targeted cancer imaging. His 2026 co-authored publication, “AI-guided design of plectin-1-targeted 68Ga-radiotracers reveals EP300-mediated membrane relocalization of plectin-1 in pancreatic ductal adenocarcinoma,” investigates radiotracer design and the biological behaviour of plectin-1 in pancreatic ductal adenocarcinoma. The study connects artificial intelligence-guided design with molecular imaging and cancer biology. [1]
Keywords
Xiangwei Wang; Fudan University; nuclear medicine; artificial intelligence; radiotracers; plectin-1; EP300; pancreatic ductal adenocarcinoma; molecular imaging; targeted cancer research.
Introduction
Artificial intelligence is increasingly being investigated as a tool for supporting molecular discovery and the development of targeted imaging agents. In nuclear medicine, radiotracers can help visualize biological targets and support investigations into disease processes. Research into pancreatic ductal adenocarcinoma is particularly relevant because improved methods for characterizing tumour-associated molecular features may contribute to future diagnostic and therapeutic research. [2]
Research Profile
Wang’s documented publication activity includes collaboration on research integrating radiotracer development, computational design and tumour biology. The reported Scopus profile lists 11 documents, 102 citations and an h-index of 5. These bibliometric indicators describe indexed publication and citation activity; they should be interpreted alongside individual contributions, methodological quality and the relevance of the research findings. [3]
Research Contributions
The identified article examines AI-guided development of gallium-68-labelled radiotracers targeting plectin-1 and reports an association with EP300-mediated membrane relocalization of this protein in pancreatic ductal adenocarcinoma. Its stated research focus brings together computationally assisted molecular targeting, radiochemistry and cancer-related biological investigation. The findings offer a basis for further examination of plectin-1 as an imaging target, although clinical utility cannot be inferred from the title alone. [1]
- Interdisciplinary research connecting AI-guided design with nuclear medicine.
- Investigation of plectin-1-targeted radiotracers in pancreatic cancer research.
- Collaborative scientific publication in an international, open-access journal.
Publications
The supplied publication record identifies the following 2026 open-access research article in the Journal of Nanobiotechnology. The author list includes Chunjuan Jiang, Fengsheng Zhang, Simin He, Xiangwei Wang and Shaoli Song, among other contributors. Wang’s position in the author list does not, by itself, establish the precise nature or extent of his individual contribution.
Jiang, C., Zhang, F., He, S., et al. (2026). “AI-guided design of plectin-1-targeted 68Ga-radiotracers reveals EP300-mediated membrane relocalization of plectin-1 in pancreatic ductal adenocarcinoma.” Journal of Nanobiotechnology. [1]
Research Impact
The supplied bibliometric figures indicate measurable citation activity, with 102 citations across 11 indexed documents and an h-index of 5. These figures provide a quantitative snapshot rather than a complete assessment of research quality or societal impact. The relevance of the plectin-1 study will depend on reproducibility, subsequent validation, independent research and evidence of potential translational value. [3]
Award Suitability
Wang’s documented co-authorship of research spanning computational methods and targeted molecular imaging provides a relevant basis for consideration in a researcher recognition programme. The publication demonstrates engagement with a specialized biomedical research question and an interdisciplinary scientific approach. A complete award assessment should additionally consider verified author contributions, research originality, methodological robustness and independent evidence of impact. This profile records research-related information and does not itself establish an award decision.
Conclusion
Xiangwei Wang’s research record includes collaboration on AI-guided plectin-1 radiotracer development for investigating pancreatic ductal adenocarcinoma. Together with the reported Scopus indicators, this publication provides a documented starting point for evaluating his research activity in nuclear medicine-related cancer research. Further assessment of individual contributions and independent validation would strengthen conclusions about the broader significance of this work.
External Links
References
- Jiang, C., Zhang, F., He, S., et al. (2026). AI-guided design of plectin-1-targeted 68Ga-radiotracers reveals EP300-mediated membrane relocalization of plectin-1 in pancreatic ductal adenocarcinoma. Journal of Nanobiotechnology. Open-access article.
- National Cancer Institute. Pancreatic Cancer. General background on pancreatic cancer research and disease.
- Elsevier. Scopus Author Profile: Xiangwei Wang, Author ID 58237446500. Bibliographic and citation information as supplied for this profile; metrics may change over time.
https://www.scopus.com/authid/detail.uri?authorId=58237446500 - International Organization for Standardization. ISO 15189:2022 — Medical laboratories: Requirements for quality and competence. General reference on quality and competence in medical laboratory practice; not a direct source for the study’s findings.
- International Forensic Scientist Awards. Official award website. Programme information and award-related resources.
forensicscientist.org
