Shu Jiang

1.2k total citations
58 papers, 586 citations indexed

About

Shu Jiang is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Shu Jiang has authored 58 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 18 papers in Artificial Intelligence and 15 papers in Molecular Biology. Recurrent topics in Shu Jiang's work include AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (11 papers) and Global Cancer Incidence and Screening (11 papers). Shu Jiang is often cited by papers focused on AI in cancer detection (15 papers), Digital Radiography and Breast Imaging (11 papers) and Global Cancer Incidence and Screening (11 papers). Shu Jiang collaborates with scholars based in United States, China and Canada. Shu Jiang's co-authors include Graham A. Colditz, Bernard Rosner, Debbie L. Bennett, Keith A. Johnson, Dorene M. Rentz, Aaron P. Schultz, Ying Cen, Rachel F. Buckley, Reisa A. Sperling and Michael J Properzi and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Clinical Nutrition and Neurology.

In The Last Decade

Shu Jiang

47 papers receiving 578 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shu Jiang United States 15 142 115 114 107 99 58 586
Winston Wong United States 8 146 1.0× 118 1.0× 64 0.6× 44 0.4× 209 2.1× 39 589
Qi Qiu China 16 288 2.0× 78 0.7× 103 0.9× 18 0.2× 49 0.5× 76 882
Chao Qin United States 17 173 1.2× 162 1.4× 23 0.2× 22 0.2× 154 1.6× 34 721
Pan Pan China 16 81 0.6× 18 0.2× 112 1.0× 28 0.3× 37 0.4× 40 650
Tingting Ma China 13 63 0.4× 40 0.3× 25 0.2× 24 0.2× 38 0.4× 32 556
George Petrides United Kingdom 18 94 0.7× 272 2.4× 361 3.2× 8 0.1× 66 0.7× 50 838
Haiming Liu United States 13 206 1.5× 331 2.9× 31 0.3× 21 0.2× 23 0.2× 24 619
Wenli Chen China 16 172 1.2× 98 0.9× 17 0.1× 13 0.1× 36 0.4× 64 719
Zhang Zhong China 13 136 1.0× 36 0.3× 38 0.3× 11 0.1× 39 0.4× 68 716

Countries citing papers authored by Shu Jiang

Since Specialization
Citations

This map shows the geographic impact of Shu Jiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Jiang more than expected).

Fields of papers citing papers by Shu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu Jiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shu Jiang. The network helps show where Shu Jiang may publish in the future.

Co-authorship network of co-authors of Shu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Jiang. A scholar is included among the top collaborators of Shu Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shu Jiang. Shu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lan, Tuo, AnnaLynn M. Williams, Jennifer Q. Lanctot, et al.. (2026). Adherence to healthy dietary patterns and risk of premature aging in adult survivors of childhood cancer in the St. Jude Lifetime Cohort Study. Cancer. 132(1). e70246–e70246.
2.
3.
Qin, Xiaodi, Siri H. Strand, Marissa R. Lee, et al.. (2025). Single-Cell Expression Analysis of Ductal Carcinoma In Situ Identifies Complex Genotypic–Phenotypic Relationships Altering Epithelial Composition. Cancer Research. 85(12). 2302–2319. 1 indexed citations
4.
Jiang, Shu, Debbie L. Bennett, Simin Chen, Adetunji T. Toriola, & Graham A. Colditz. (2024). Automated Breast Density Assessment for Full-Field Digital Mammography and Digital Breast Tomosynthesis. Cancer Prevention Research. 18(1). 23–29. 2 indexed citations
5.
Lan, Tuo, Mei Wang, Matthew J. Ehrhardt, et al.. (2024). Dietary patterns and their associations with sociodemographic and lifestyle factors in adult survivors of childhood cancer: a cross-sectional study. American Journal of Clinical Nutrition. 119(3). 639–648. 3 indexed citations
6.
Jiang, Shu, Jiguo Cao, & Graham A. Colditz. (2024). Functional partial least squares with censored outcomes: Prediction of breast cancer risk with mammogram images. The Annals of Applied Statistics. 18(2).
7.
Wang, Mei, Tuo Lan, AnnaLynn M. Williams, et al.. (2024). Plant Foods Intake and Risk of Premature Aging in Adult Survivors of Childhood Cancer in the St Jude Lifetime Cohort (SJLIFE). Journal of Clinical Oncology. 42(13). 1553–1562. 4 indexed citations
8.
Lan, Tuo, AnnaLynn M. Williams, Matthew J. Ehrhardt, et al.. (2024). Sugar and sugar-sweetened beverages in relation to premature aging in adult survivors of childhood cancer. British Journal of Cancer. 131(7). 1169–1177. 2 indexed citations
9.
Jiang, Shu, Debbie L. Bennett, Bernard Rosner, Rulla M. Tamimi, & Graham A. Colditz. (2024). Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms. JCO Clinical Cancer Informatics. 8(8). e2400200–e2400200. 4 indexed citations
10.
Colditz, Graham A., Rulla M. Tamimi, Bernard Rosner, & Shu Jiang. (2024). Abstract 6619: Dynamic prediction with repeated mammogram images improves 5-year breast cancer risk performance. Cancer Research. 84(6_Supplement). 6619–6619. 1 indexed citations
11.
Jiang, Shu, Debbie L. Bennett, Bernard Rosner, & Graham A. Colditz. (2023). Longitudinal Analysis of Change in Mammographic Density in Each Breast and Its Association With Breast Cancer Risk. JAMA Oncology. 9(6). 808–808. 29 indexed citations
12.
Lan, Tuo, Mei Wang, Matthew J. Ehrhardt, et al.. (2023). Adherence to healthy diet and risk of cardiovascular disease in adult survivors of childhood cancer in the St. Jude Lifetime Cohort: a cross-sectional study. BMC Medicine. 21(1). 242–242. 8 indexed citations
13.
Bennett, Debbie L., et al.. (2023). Pectoral muscle removal in mammogram images: A novel approach for improved accuracy and efficiency. Cancer Causes & Control. 35(1). 185–191. 5 indexed citations
14.
Jiang, Shu & Graham A. Colditz. (2023). Abstract PD14-04: PD14-04 Whole mammogram image-based Cox regression improves 5-year breast cancer prediction. Cancer Research. 83(5_Supplement). PD14–4. 2 indexed citations
15.
Jiang, Shu, et al.. (2020). Functional Ensemble Survival Tree: Dynamic Prediction of Alzheimer’s Disease Progression Accommodating Multiple Time-Varying Covariates. Journal of the Royal Statistical Society Series C (Applied Statistics). 70(1). 66–79. 14 indexed citations
16.
Sanjeevaiah, Aravind, Rama Suresh, Rutika Mehta, et al.. (2020). P-131 Ramucirumab and irinotecan in patients with previously treated gastroesophageal adenocarcinoma: Interim analysis of a phase II trial. Annals of Oncology. 31. S132–S132. 1 indexed citations
17.
Farrell, Michelle E., Shu Jiang, Aaron P. Schultz, et al.. (2020). Defining the Lowest Threshold for Amyloid-PET to Predict Future Cognitive Decline and Amyloid Accumulation. Neurology. 96(4). e619–e631. 69 indexed citations
18.
Jiang, Shu & Richard J. Cook. (2020). A Mixture Model for Bivariate Interval-Censored Failure Times with Dependent Susceptibility. Statistics in Biosciences. 12(1). 37–62. 1 indexed citations
19.
Jiang, Shu. (2019). Prediction Based on Random Survival Forest. American Journal of Biomedical Science & Research. 6(2). 109–111. 3 indexed citations
20.
Lu, Yanrong, Shu Jiang, C. Li, et al.. (2014). A TALEN‐based specific transcript knock‐down of PIWIL2 suppresses cell growth in HepG2 tumor cell. Cell Proliferation. 47(5). 448–456. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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