Lu‐Chen Weng

12.0k total citations · 1 hit paper
44 papers, 1.9k citations indexed

About

Lu‐Chen Weng is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Surgery. According to data from OpenAlex, Lu‐Chen Weng has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 11 papers in Genetics and 6 papers in Surgery. Recurrent topics in Lu‐Chen Weng's work include Atrial Fibrillation Management and Outcomes (20 papers), Genetic Associations and Epidemiology (10 papers) and Cardiac Arrhythmias and Treatments (9 papers). Lu‐Chen Weng is often cited by papers focused on Atrial Fibrillation Management and Outcomes (20 papers), Genetic Associations and Epidemiology (10 papers) and Cardiac Arrhythmias and Treatments (9 papers). Lu‐Chen Weng collaborates with scholars based in United States, Norway and Netherlands. Lu‐Chen Weng's co-authors include Patrick T. Ellinor, Steven A. Lubitz, Emelia J. Benjamin, Ludovic Trinquart, Wen‐Harn Pan, Wen‐Ting Yeh, Shaan Khurshid, Seung Hoan Choi, David D. McManus and Kathryn L. Lunetta and has published in prestigious journals such as JAMA, Circulation and Nature Communications.

In The Last Decade

Lu‐Chen Weng

44 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study

2018 237 citations Laila Stærk, Biqi Wang et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu‐Chen Weng United States	24	1.2k	235	222	182	176	44	1.9k
Takashi Hisamatsu Japan	21	674 0.6×	211 0.9×	196 0.9×	194 1.1×	129 0.7×	139	1.4k
Darae Ko United States	19	1.6k 1.4×	450 1.9×	249 1.1×	145 0.8×	80 0.5×	60	2.3k
Annapaola Zito Italy	25	594 0.5×	142 0.6×	190 0.9×	304 1.7×	85 0.5×	81	1.4k
Nima Ghasemzadeh United States	23	862 0.7×	313 1.3×	331 1.5×	320 1.8×	119 0.7×	47	1.6k
Xiao‐Mei Li China	25	629 0.5×	446 1.9×	305 1.4×	485 2.7×	133 0.8×	165	2.0k
Daniela Leonardis Italy	23	657 0.6×	163 0.7×	166 0.7×	200 1.1×	77 0.4×	57	1.7k
Faye L. Lopez United States	25	1.9k 1.6×	227 1.0×	265 1.2×	221 1.2×	49 0.3×	46	2.6k
João D. Fontes United States	24	955 0.8×	185 0.8×	257 1.2×	107 0.6×	59 0.3×	33	1.5k
Parasuram Krishnamoorthy United States	23	688 0.6×	233 1.0×	265 1.2×	274 1.5×	44 0.3×	120	1.8k
Chaim Yosefy Israel	22	1.2k 1.0×	158 0.7×	436 2.0×	497 2.7×	85 0.5×	71	1.7k

Countries citing papers authored by Lu‐Chen Weng

Since Specialization

Citations

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

Fields of papers citing papers by Lu‐Chen Weng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lu‐Chen Weng. 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 Lu‐Chen Weng. The network helps show where Lu‐Chen Weng may publish in the future.

Co-authorship network of co-authors of Lu‐Chen Weng

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

All Works

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20 of 20 papers shown

Friedman, Sam, Shaan Khurshid, Xin Wang, et al.. (2025). Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. npj Digital Medicine. 8(1). 23–23. 4 indexed citations

Kim, Min Seo, Shaan Khurshid, Shinwan Kany, et al.. (2025). Machine Learning-Based Plasma Protein Risk Score Improves Atrial Fibrillation Prediction Over Clinical and Genomic Models. Circulation Genomic and Precision Medicine. 18(4). e004943–e004943. 2 indexed citations

Wang, Xin, Shaan Khurshid, Seung Hoan Choi, et al.. (2023). Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms. Circulation Genomic and Precision Medicine. 16(4). 340–349. 7 indexed citations

Nauffal, Victor, Paolo Di Achille, Marcus D. R. Klarqvist, et al.. (2023). Genetics of myocardial interstitial fibrosis in the human heart and association with disease. Nature Genetics. 55(5). 777–786. 39 indexed citations

Weng, Lu‐Chen, Shaan Khurshid, Ludovic Trinquart, et al.. (2023). Clinical and Genetic Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke. Stroke. 54(7). 1777–1785. 8 indexed citations

Khurshid, Shaan, Julieta Lazarte, James P. Pirruccello, et al.. (2023). Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass. Nature Communications. 14(1). 1558–1558. 23 indexed citations

Cunningham, Jonathan W., Paolo Di Achille, Valerie N. Morrill, et al.. (2022). Machine Learning to Understand Genetic and Clinical Factors Associated With the Pulse Waveform Dicrotic Notch. Circulation Genomic and Precision Medicine. 16(1). e003676–e003676. 10 indexed citations

Lazarte, Julieta, Sean J. Jurgens, Seung Hoan Choi, et al.. (2022). LMNA Variants and Risk of Adult-Onset Cardiac Disease. Journal of the American College of Cardiology. 80(1). 50–59. 24 indexed citations

Khurshid, Shaan, Nina Mars, Christopher M. Haggerty, et al.. (2021). Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation. Circulation Genomic and Precision Medicine. 14(5). e003355–e003355. 22 indexed citations

10.

Halford, Jennifer L., Lu‐Chen Weng, Sean J. Jurgens, et al.. (2020). Associations Between Alcohol Intake and Genetic Predisposition With Atrial Fibrillation Risk in a National Biobank. Circulation Genomic and Precision Medicine. 13(6). e003111–e003111. 7 indexed citations

11.

Aragam, Krishna G., Mark Chaffin, George Hindy, et al.. (2019). CLINICAL CHARACTERISTICS AND TREATMENT PATTERNS OF PATIENTS AT HIGH POLYGENIC RISK FOR CORONARY ARTERY DISEASE. Journal of the American College of Cardiology. 73(9). 3075–3075. 3 indexed citations

12.

Weng, Lu‐Chen, Nicholas S. Roetker, Pamela L. Lutsey, et al.. (2018). Evaluation of the relationship between plasma lipids and abdominal aortic aneurysm: A Mendelian randomization study. PLoS ONE. 13(4). e0195719–e0195719. 39 indexed citations

13.

Ashburner, Jeffrey M., Steven J. Atlas, Shaan Khurshid, et al.. (2018). Electronic physician notifications to improve guideline-based anticoagulation in atrial fibrillation: a randomized controlled trial. Journal of General Internal Medicine. 33(12). 2070–2077. 19 indexed citations

14.

Lubitz, Steven A., Shaan Khurshid, Lu‐Chen Weng, et al.. (2018). Predictors of oral anticoagulant non-prescription in patients with atrial fibrillation and elevated stroke risk. American Heart Journal. 200. 24–31. 34 indexed citations

15.

Stærk, Laila, Biqi Wang, Sarah R. Preis, et al.. (2018). Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study. BMJ. 361. k1453–k1453. 237 indexed citations breakdown →

16.

Ye, Jiangchuan, et al.. (2016). A Functional Variant Associated with Atrial Fibrillation Regulates PITX2c Expression through TFAP2a. The American Journal of Human Genetics. 99(6). 1281–1291. 53 indexed citations

17.

Folsom, A.R., Weihong Tang, Lu‐Chen Weng, et al.. (2015). Replication of a genetic risk score for venous thromboembolism in whites but not in African Americans. Journal of Thrombosis and Haemostasis. 14(1). 83–88. 19 indexed citations

18.

Weng, Lu‐Chen, Weihong Tang, Stephen S. Rich, et al.. (2014). A genetic association study of D-dimer levels with 50K SNPs from a candidate gene chip in four ethnic groups. Thrombosis Research. 134(2). 462–467. 7 indexed citations

19.

Weng, Lu‐Chen, Mary Cushman, James S. Pankow, et al.. (2014). A genetic association study of activated partial thromboplastin time in European Americans and African Americans: the ARIC Study. Human Molecular Genetics. 24(8). 2401–2408. 8 indexed citations

20.

Pan, Wen‐Harn, Wen‐Ting Yeh, & Lu‐Chen Weng. (2008). Epidemiology of metabolic syndrome in Asia.. PubMed. 17 Suppl 1. 37–42. 157 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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