Ying Lü

35.9k total citations · 9 hit papers
530 papers, 25.2k citations indexed

About

Ying Lü is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Ying Lü has authored 530 papers receiving a total of 25.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Radiology, Nuclear Medicine and Imaging, 76 papers in Molecular Biology and 70 papers in Orthopedics and Sports Medicine. Recurrent topics in Ying Lü's work include Bone health and osteoporosis research (61 papers), Statistical Methods in Clinical Trials (28 papers) and MRI in cancer diagnosis (27 papers). Ying Lü is often cited by papers focused on Bone health and osteoporosis research (61 papers), Statistical Methods in Clinical Trials (28 papers) and MRI in cancer diagnosis (27 papers). Ying Lü collaborates with scholars based in United States, China and Germany. Ying Lü's co-authors include Harry K. Genant, Sharmila Majumdar, Thomas Lang, Yan Song, M. Jergas, Karen Kinkel, Thomas Fuerst, Fergus V. Coakley, Claus‐Christian Glüer and Hedvig Hricak and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Ying Lü

505 papers receiving 24.4k citations

Hit Papers

Whole-Organ Magnetic Resonance Imaging Score (WORMS) of t... 1995 2026 2005 2015 2003 1995 1996 2015 2004 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis
    2003 1.2k citations Ying Lü et al. profile →
  2. Accurate assessment of precision errors: How to measure the reproducibility of bone densitometry techniques
    1995 1.1k citations Ying Lü et al. profile →
  3. Noninvasive assessment of bone mineral and structure: State of the art
    1996 731 citations Ying Lü, Sharmila Majumdar et al. profile →
  4. Decision tree methods: applications for classification and prediction.
    2015 698 citations Ying Lü et al. profile →
  5. Cortical and Trabecular Bone Mineral Loss From the Spine and Hip in Long-Duration Spaceflight
    2004 610 citations Ying Lü et al. profile →
  6. Log-transformation and its implications for data analysis.
    2014 435 citations Ying Lü et al. profile →
  7. Evaluating eligibility criteria of oncology trials using real-world data and AI
    2021 184 citations Ying Lü et al. profile →
  8. The age of fathers in the USA is rising: an analysis of 168 867 480 births from 1972 to 2015
    2017 181 citations Ying Lü et al. profile →
  9. Analysis of Breast Cancer Mortality in the US—1975 to 2019
    2024 89 citations Ying Lü et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Lü United States 82 5.7k 5.5k 5.2k 3.0k 2.9k 530 25.2k
Charles E. McCulloch United States 92 1.4k 0.2× 1.8k 0.3× 6.9k 1.3× 3.9k 1.3× 2.9k 1.0× 750 48.2k
J Martin Bland United Kingdom 42 3.3k 0.6× 8.5k 1.6× 9.5k 1.8× 1.5k 0.5× 2.5k 0.8× 84 52.2k
Alan Nevill United Kingdom 80 8.2k 1.4× 1.6k 0.3× 2.1k 0.4× 778 0.3× 2.8k 1.0× 677 27.4k
David A. Bluemke United States 115 2.1k 0.4× 25.2k 4.6× 8.6k 1.6× 1.7k 0.5× 2.7k 0.9× 934 56.4k
Burkhardt Seifert Switzerland 79 929 0.2× 4.1k 0.7× 6.9k 1.3× 1.1k 0.4× 2.0k 0.7× 585 23.4k
Elizabeth J. Atkinson United States 81 9.9k 1.7× 876 0.2× 6.7k 1.3× 1.6k 0.5× 4.8k 1.6× 327 23.9k
Tim D. Spector United Kingdom 119 6.0k 1.0× 2.3k 0.4× 7.2k 1.4× 10.3k 3.4× 16.7k 5.7× 722 52.2k
Patrick M. Bossuyt Netherlands 116 1.6k 0.3× 6.0k 1.1× 13.6k 2.6× 2.4k 0.8× 3.1k 1.1× 757 61.9k
Frank E. Harrell United States 90 1.3k 0.2× 6.3k 1.1× 10.5k 2.0× 1.0k 0.3× 2.4k 0.8× 325 51.4k
Christopher H. Schmid United States 88 1.3k 0.2× 2.3k 0.4× 10.1k 1.9× 3.4k 1.1× 3.7k 1.3× 404 63.2k

Countries citing papers authored by Ying Lü

Since Specialization
Citations

This map shows the geographic impact of Ying Lü'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 Ying Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Lü more than expected).

Fields of papers citing papers by Ying Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Lü. 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 Ying Lü. The network helps show where Ying Lü may publish in the future.

Co-authorship network of co-authors of Ying Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Lü. A scholar is included among the top collaborators of Ying Lü 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 Ying Lü. Ying Lü 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.
2.
Guo, Rui, Xiaoyang Chen, Ying Lü, et al.. (2025). A novel bispecific aptamer targeting LAG3 and HER2 enhances T cell-mediated immunotherapy against HER2-positive cancer cells. Frontiers in Immunology. 16. 1557910–1557910. 1 indexed citations
3.
Tang, Huilin, Ying Lü, William T. Donahoo, et al.. (2025). Glucagon-Like Peptide-1 Receptor Agonists and Risk for Depression in Older Adults With Type 2 Diabetes. Annals of Internal Medicine. 178(3). 315–326. 3 indexed citations
4.
5.
Di, Junrui, Nadia Daizadeh, Ying Lü, et al.. (2025). Decentralized Clinical Trials in the Era of Real‐World Evidence: A Statistical Perspective. Clinical and Translational Science. 18(2). e70117–e70117. 10 indexed citations
6.
Lü, Ying, Hao Dai, Thomas J. George, et al.. (2025). GLP-1 RA Use and Survival Among Older Adults With Cancer and Type 2 Diabetes. JAMA Network Open. 8(7). e2521887–e2521887.
7.
Guo, Jingchuan, Huilin Tang, Hui Shao, et al.. (2024). Sodium‐glucose cotransporter 2 inhibitors and the risk of Parkinson disease in real‐world patients with type 2 diabetes. Diabetes Obesity and Metabolism. 26(12). 5727–5736. 4 indexed citations
8.
Tang, Huilin, William T. Donahoo, Mikael Svensson, et al.. (2024). Heterogeneous treatment effects of sodium‐glucose cotransporter 2 inhibitors on risk of dementia in people with type 2 diabetes: A population‐based cohort study. Alzheimer s & Dementia. 20(8). 5528–5539. 15 indexed citations
9.
10.
Shkolyar, Eugene, Qian Zhao, Kathleen E. Mach, et al.. (2021). Bladder cancer risk stratification using a urinary mRNA biomarker panel – A path towards cystoscopy triaging. Urologic Oncology Seminars and Original Investigations. 39(8). 497.e9–497.e15. 11 indexed citations
11.
Watanabe, Masashi, et al.. (2020). B7-CD28 co-stimulation modulates central tolerance via thymic clonal deletion and Treg generation through distinct mechanisms. Nature Communications. 11(1). 6264–6264. 31 indexed citations
12.
Sin, Mandy L.Y., Kathleen E. Mach, Rahul Sinha, et al.. (2017). Deep Sequencing of Urinary RNAs for Bladder Cancer Molecular Diagnostics. Clinical Cancer Research. 23(14). 3700–3710. 22 indexed citations
13.
Lü, Ying, Ju Li, Jia Wang, et al.. (2015). Glial cell line-derived neurotrophic factor induced the differentiation of amniotic fluid-derived stem cells into vascular endothelial-like cells in vitro. Journal of Molecular Histology. 47(1). 9–19. 15 indexed citations
14.
James, Lisa M., Ilana Belitskaya‐Lévy, Ying Lü, et al.. (2014). Development and application of a diagnostic algorithm for posttraumatic stress disorder. Psychiatry Research Neuroimaging. 231(1). 1–7. 13 indexed citations
15.
King, Gary & Ying Lü. (2010). Verbal Autopsy Methods with Multiple Causes. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 49 indexed citations
16.
Tang, Jean Y., Michelle Aszterbaum, Mohammad Athar, et al.. (2010). Basal Cell Carcinoma Chemoprevention with Nonsteroidal Anti-inflammatory Drugs in Genetically Predisposed PTCH1 +/− Humans and Mice. Cancer Prevention Research. 3(1). 25–34. 61 indexed citations
17.
Chung, Sung Won, Ying Lü, & Roland G. Henry. (2006). Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters. NeuroImage. 33(2). 531–541. 95 indexed citations
18.
Lü, Ying, Hua Jin, & Kathleen R. Lamborn. (2005). A design of phase II cancer trials using total and complete response endpoints. Statistics in Medicine. 24(20). 3155–3170. 23 indexed citations
19.
So, Po-Lin, Kenneth Lee, Jennifer Hebert, et al.. (2004). Topical Tazarotene Chemoprevention Reduces Basal Cell Carcinoma Number and Size in Ptch1 +/− Mice Exposed to Ultraviolet or Ionizing Radiation. Cancer Research. 64(13). 4385–4389. 42 indexed citations
20.
Link, Thomas M., Lynne S. Steinbach, Michael D. Ries, et al.. (2003). Osteoarthritis: MR Imaging Findings in Different Stages of Disease and Correlation with Clinical Findings. Radiology. 226(2). 373–381. 392 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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