Lingyao Yang

1.6k total citations
17 papers, 475 citations indexed

About

Lingyao Yang is a scholar working on Surgery, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lingyao Yang has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Epidemiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lingyao Yang's work include Coronary Interventions and Diagnostics (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Lingyao Yang is often cited by papers focused on Coronary Interventions and Diagnostics (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Lingyao Yang collaborates with scholars based in United States, United Kingdom and China. Lingyao Yang's co-authors include Manisha Desai, Robyn L. Ball, Curtis P. Langlotz, Matthew P. Lungren, N Moradzadeh, Timothy J. Amrhein, Brian E. Chapman, David B. Larson, Themistocles L. Assimes and Elias Salfati and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Lingyao Yang

16 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyao Yang United States 10 137 115 78 74 73 17 475
Mi Kyung Song South Korea 12 118 0.9× 163 1.4× 113 1.4× 46 0.6× 23 0.3× 48 508
Ohad Oren United States 11 78 0.6× 147 1.3× 48 0.6× 103 1.4× 168 2.3× 31 638
Chul Soon Choi South Korea 17 392 2.9× 202 1.8× 28 0.4× 54 0.7× 54 0.7× 56 932
Dustin N. Hartzel United States 13 68 0.5× 128 1.1× 68 0.9× 148 2.0× 353 4.8× 24 740
James Szymanski United States 11 152 1.1× 63 0.5× 39 0.5× 45 0.6× 27 0.4× 27 560
Jeevesh Kapur Singapore 12 76 0.6× 169 1.5× 84 1.1× 26 0.4× 17 0.2× 34 477
Luca Carmisciano Italy 14 100 0.7× 59 0.5× 34 0.4× 46 0.6× 67 0.9× 51 609
Hao S. Lo United States 11 141 1.0× 130 1.1× 47 0.6× 34 0.5× 153 2.1× 26 532
Yili Zhao China 15 155 1.1× 68 0.6× 20 0.3× 116 1.6× 90 1.2× 45 643
Florian Ebner Germany 13 142 1.0× 80 0.7× 44 0.6× 26 0.4× 12 0.2× 69 570

Countries citing papers authored by Lingyao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lingyao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyao Yang. A scholar is included among the top collaborators of Lingyao Yang 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 Lingyao Yang. Lingyao Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Liu, Lei, Lu Song, Jianghong Liu, et al.. (2023). Integration of FUNDC1-associated mitochondrial protein import and mitochondrial quality control contributes to TDP-43 degradation. Cell Death and Disease. 14(11). 735–735. 9 indexed citations
2.
Rogo-Gupta, Lisa, Lingyao Yang, Marcia L. Stefanick, et al.. (2021). Low-fat dietary pattern reduces urinary incontinence in postmenopausal women: post hoc analysis of the Women's Health Initiative Diet Modification Trial. AJOG Global Reports. 2(1). 100044–100044. 2 indexed citations
3.
Yefimova, Maria, Rebecca A. Aslakson, Lingyao Yang, et al.. (2020). Palliative Care and End-of-Life Outcomes Following High-risk Surgery. JAMA Surgery. 155(2). 138–138. 55 indexed citations
4.
Ceresnak, Scott R., Robert H. Pass, Anne M. Dubin, et al.. (2019). Validation of a novel automated signal analysis tool for ablation of Wolff-Parkinson-White Syndrome. PLoS ONE. 14(6). e0217282–e0217282.
5.
Olivier, Christoph B., Vandana Sundaram, Deepak L. Bhatt, et al.. (2018). Definitions of peri-procedural myocardial infarction and the association with one-year mortality: Insights from CHAMPION trials. International Journal of Cardiology. 270. 96–101. 9 indexed citations
6.
Ransohoff, Katherine J., Lingyao Yang, Haley Hedlin, et al.. (2018). Melanoma risk prediction using a multilocus genetic risk score in the Women's Health Initiative cohort. Journal of the American Academy of Dermatology. 79(1). 36–41.e10. 15 indexed citations
7.
Mooney, Joshua J., et al.. (2018). Multiple listing in lung transplant candidates: A cohort study. American Journal of Transplantation. 19(4). 1098–1108. 7 indexed citations
8.
9.
Yang, Lingyao, Vandana Sundaram, Sally Arai, et al.. (2017). Validation of the Hematopoietic Cell Transplantation–Specific Comorbidity Index in Nonmyeloablative Allogeneic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 23(10). 1744–1748. 11 indexed citations
10.
Olivier, Christoph B., Vandana Sundaram, Victoria Y. Ding, et al.. (2017). ONE-YEAR MORTALITY INCREASED IN PATIENTS WITH PERI-PROCEDURAL MYOCARDIAL INFARCTION: INSIGHTS FROM THE CHAMPION TRIALS. Journal of the American College of Cardiology. 69(11). 7–7. 1 indexed citations
11.
Purger, David, Arjun V. Pendharkar, Allen L. Ho, et al.. (2017). Outpatient vs Inpatient Anterior Cervical Discectomy and Fusion: A Population-Level Analysis of Outcomes and Cost. Neurosurgery. 82(4). 454–464. 66 indexed citations
12.
Almond, Christopher S., Helena Hoen, Joseph W. Rossano, et al.. (2017). Development and validation of a major adverse transplant event (MATE) score to predict late graft loss in pediatric heart transplantation. The Journal of Heart and Lung Transplantation. 37(4). 441–450. 14 indexed citations
13.
Ball, Robyn L., Lingyao Yang, N Moradzadeh, et al.. (2017). Deep Learning to Classify Radiology Free-Text Reports. Radiology. 286(3). 845–852. 148 indexed citations
14.
Fearon, William F., Jeffrey W. Chambers, Arnold H. Seto, et al.. (2017). ACIST-FFR Study (Assessment of Catheter-Based Interrogation and Standard Techniques for Fractional Flow Reserve Measurement). Circulation Cardiovascular Interventions. 10(12). 34 indexed citations
15.
Chahal, Harvind S., Wenting Wu, Katherine J. Ransohoff, et al.. (2016). 069 Genome-wide association study identifies 14 novel risk alleles associated with basal cell carcinoma. Journal of Investigative Dermatology. 136(5). S13–S13. 8 indexed citations
16.
Chahal, Harvind S., Wenting Wu, Katherine J. Ransohoff, et al.. (2016). Genome-wide association study identifies 14 novel risk alleles associated with basal cell carcinoma. Nature Communications. 7(1). 12510–12510. 64 indexed citations
17.
Goldstein, Benjamin A., Lingyao Yang, Elias Salfati, & Themistocles L. Assimes. (2015). Contemporary Considerations for Constructing a Genetic Risk Score: An Empirical Approach. Genetic Epidemiology. 39(6). 439–445. 30 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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