Jian‐Min Yuan Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

95 h-index 985 pubs 37,596 cited

Biography and Research Information

OverviewAI-generated summary

Jian-Min Yuan's research focuses on investigating factors associated with cancer risk and diagnosis, utilizing large-scale epidemiological studies and advanced analytical techniques. Yuan has published extensively on the relationship between diet, genetics, and cancer, with a particular emphasis on colorectal, lung, and liver cancers. This work includes analyzing composite dietary antioxidant indices and identifying new susceptibility loci through genome-wide association studies.

Further research contributions involve the proteomic and radiomic signatures of lung cancer, aiming to improve early detection and prediction of malignancy using machine learning. Yuan has also examined cancer risk factors in specific populations, such as endometrial cancer in Singaporean Chinese women and breast and colorectal cancer screening adherence among women in the United States. Collaboration is evident through shared publications with researchers at the University of Arkansas for Medical Sciences, contributing to a broader network of health sciences research.

With a substantial publication record (1008 publications) and a high citation count (39,223), Yuan is recognized as a highly cited researcher. The researcher maintains an active laboratory website, indicating ongoing research activities and a commitment to disseminating scientific findings. Yuan's work spans diverse methodologies, from prospective cohort and case-control studies to sophisticated genomic analyses and machine learning applications in medical imaging.

Metrics

  • h-index: 95
  • Publications: 985
  • Citations: 37,596

Selected Publications

  • Hormone therapy use and young-onset breast cancer: a pooled analysis of prospective cohorts included in the Premenopausal Breast Cancer Collaborative Group (2025)
    8 citations DOI OpenAlex
  • Alcohol intake and pancreatic cancer risk: An analysis from 30 prospective studies across Asia, Australia, Europe, and North America (2025)
    22 citations DOI OpenAlex
  • Randomized Phase II Clinical Trial of Sulforaphane in Former Smokers at High Risk for Lung Cancer (2025)
    8 citations DOI OpenAlex
  • Design of Ligand‐Nonbridging Sites in Metal–Organic Frameworks for Boosting Lithium Storage Capacity (2024)
    10 citations DOI OpenAlex
  • The Epstein–Barr Virus Nuclear Antigen 1 Variant Associated with Nasopharyngeal Carcinoma Defines the Sequence Criteria for Serologic Risk Prediction (2024)
    8 citations DOI OpenAlex
  • Comparison of race‐ and ethnicity‐specific <scp>BMI</scp> cutoffs for categorizing obesity severity: a multicountry prospective cohort study (2024)
    9 citations DOI OpenAlex
  • Waterpipe Tobacco Smoking and Risk of Cancer Mortality (2024)
    12 citations DOI OpenAlex
  • Accurate Whole-Brain Segmentation for Bimodal PET/MR Images via a Cross-Attention Mechanism (2024)
    9 citations DOI OpenAlex
  • Genome-wide association study identifies high-impact susceptibility loci for HCC in North America (2024)
    35 citations DOI OpenAlex
  • Association between reproductive factors with lung cancer incidence and mortality: A pooled analysis of over 308,000 females in the Asia cohort consortium (2024)
    8 citations DOI OpenAlex
  • Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches (2024)
    78 citations DOI OpenAlex
  • CYP2A6 Activity and Cigarette Consumption Interact in Smoking-Related Lung Cancer Susceptibility (2023)
    16 citations DOI OpenAlex
  • Obesity is associated with biliary tract cancer mortality and incidence: A pooled analysis of 21 cohort studies in the Asia Cohort Consortium (2023)
    10 citations DOI OpenAlex
  • Association of aflatoxin with gallbladder cancer in a case‐control study nested within a Chinese cohort (2023)
    13 citations DOI OpenAlex
  • Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI (2023)
    10 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

537 Collaborators 240 Institutions 27 Countries

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