Joseph B. Leader

8.4k total citations
23 papers, 748 citations indexed

About

Joseph B. Leader is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Joseph B. Leader has authored 23 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Molecular Biology. Recurrent topics in Joseph B. Leader's work include Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Chronic Disease Management Strategies (2 papers). Joseph B. Leader is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Chronic Disease Management Strategies (2 papers). Joseph B. Leader collaborates with scholars based in United States, United Kingdom and Italy. Joseph B. Leader's co-authors include H. Lester Kirchner, Dustin N. Hartzel, Christopher M. Haggerty, Brandon K. Fornwalt, Linyuan Jing, Christopher W. Good, Jonathan D Suever, Gregory J Wehner, John G.F. Cleland and Nick James and has published in prestigious journals such as Circulation, PLoS ONE and Diabetes.

In The Last Decade

Joseph B. Leader

22 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph B. Leader United States 13 296 152 133 112 88 23 748
Sukrit Narula United States 13 348 1.2× 63 0.4× 98 0.7× 125 1.1× 218 2.5× 19 829
Eric Farber‐Eger United States 17 730 2.5× 96 0.6× 133 1.0× 131 1.2× 87 1.0× 72 1.2k
Min Woo Kang South Korea 17 160 0.5× 96 0.6× 51 0.4× 172 1.5× 26 0.3× 55 828
Ying Zheng China 16 168 0.6× 30 0.2× 107 0.8× 53 0.5× 58 0.7× 70 770
Justin Weiner United States 12 138 0.5× 106 0.7× 110 0.8× 145 1.3× 27 0.3× 22 649
Neil Patel United States 15 148 0.5× 48 0.3× 134 1.0× 121 1.1× 54 0.6× 68 721
Mohammed Bashir Qatar 15 80 0.3× 58 0.4× 65 0.5× 131 1.2× 32 0.4× 71 620
Venexia Walker United Kingdom 15 112 0.4× 219 1.4× 130 1.0× 131 1.2× 15 0.2× 36 717
Grigory Sidorenkov Netherlands 19 179 0.6× 26 0.2× 81 0.6× 135 1.2× 220 2.5× 79 1.0k
Jennifer Cai United States 15 235 0.8× 38 0.3× 180 1.4× 122 1.1× 29 0.3× 38 856

Countries citing papers authored by Joseph B. Leader

Since Specialization
Citations

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

Fields of papers citing papers by Joseph B. Leader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph B. Leader. 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 Joseph B. Leader. The network helps show where Joseph B. Leader may publish in the future.

Co-authorship network of co-authors of Joseph B. Leader

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph B. Leader. A scholar is included among the top collaborators of Joseph B. Leader 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 Joseph B. Leader. Joseph B. Leader 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.
Raghunath, Sushravya, John M. Pfeifer, Chris R. Kelsey, et al.. (2022). An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk. Journal of Electrocardiology. 76. 61–65. 6 indexed citations
2.
3.
Ulloa, Alvaro, Linyuan Jing, Christopher W. Good, et al.. (2021). Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality. Nature Biomedical Engineering. 5(6). 546–554. 45 indexed citations
4.
Kelly, Melissa, Joseph B. Leader, Karen E. Wain, et al.. (2021). Leveraging population‐based exome screening to impact clinical care: The evolution of variant assessment in the Geisinger MyCode research project. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 187(1). 83–94. 25 indexed citations
5.
Jing, Linyuan, Alvaro Ulloa, Christopher W. Good, et al.. (2020). A Machine Learning Approach to Management of Heart Failure Populations. JACC Heart Failure. 8(7). 578–587. 47 indexed citations
6.
Oetjens, Matthew T., Jonathan Z. Luo, Alex R. Chang, et al.. (2020). Electronic health record analysis identifies kidney disease as the leading risk factor for hospitalization in confirmed COVID-19 patients. PLoS ONE. 15(11). e0242182–e0242182. 27 indexed citations
7.
Banda, Juan M., Ashish Sarraju, Fahim Abbasi, et al.. (2019). Finding missed cases of familial hypercholesterolemia in health systems using machine learning. npj Digital Medicine. 2(1). 23–23. 77 indexed citations
8.
Raghunath, Sushravya, David P. vanMaanen, Joshua V. Stough, et al.. (2019). Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal. Circulation. 2 indexed citations
9.
Gonzaga‐Jauregui, Claudia, Wenzhen Ge, Jeffrey Staples, et al.. (2019). Clinical and Molecular Prevalence of Lipodystrophy in an Unascertained Large Clinical Care Cohort. Diabetes. 69(2). 249–258. 55 indexed citations
10.
Carruth, Eric, W. Glenn Young, Dominik Beer, et al.. (2019). Prevalence and Electronic Health Record-Based Phenotype of Loss-of-Function Genetic Variants in Arrhythmogenic Right Ventricular Cardiomyopathy-Associated Genes. Circulation Genomic and Precision Medicine. 12(11). e002579–e002579. 38 indexed citations
11.
Verma, Anurag, Anastasia Lucas, Shefali S. Verma, et al.. (2018). PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger. The American Journal of Human Genetics. 102(4). 592–608. 38 indexed citations
12.
Williams, Marc S., Adam H. Buchanan, F. Daniel Davis, et al.. (2018). Patient-Centered Precision Health In A Learning Health Care System: Geisinger’s Genomic Medicine Experience. Health Affairs. 37(5). 757–764. 68 indexed citations
13.
Ulloa, Alvaro, Christopher W. Good, David P. vanMaanen, et al.. (2018). A deep neural network predicts survival after heart imaging better than cardiologists.. 2 indexed citations
14.
Helle, Emmi, Joshua W. Knowles, Joseph B. Leader, et al.. (2017). First Trimester Plasma Glucose Values in Women without Diabetes are Associated with Risk for Congenital Heart Disease in Offspring. The Journal of Pediatrics. 195. 275–278. 34 indexed citations
15.
Bauer, Christopher R., Daniel R. Lavage, John F. Snyder, et al.. (2016). OPENING THE DOOR TO THE LARGE SCALE USE OF CLINICAL LAB MEASURES FOR ASSOCIATION TESTING: EXPLORING DIFFERENT METHODS FOR DEFINING PHENOTYPES. PubMed. 22. 356–367. 4 indexed citations
16.
17.
Leader, Joseph B., Sarah A. Pendergrass, Anurag Verma, et al.. (2015). Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.. PubMed. 2015. 824–32. 12 indexed citations
18.
Kirchner, H. Lester, Xiaoqin Tang, Joseph B. Leader, & Robert M. Perkins. (2014). A2-1: Longitudinal eGFR, eGFR Slope, and Cardiovascular Events Among Adults with CKD. Clinical Medicine & Research. 12(1-2). 84–84. 1 indexed citations
19.
Allen‐Ramey, Felicia, Linda Nelsen, Joseph B. Leader, et al.. (2013). Electronic health record-based assessment of oral corticosteroid use in a population of primary care patients with asthma: an observational study. Allergy Asthma and Clinical Immunology. 9(1). 27–27. 12 indexed citations
20.
Liberman, Joshua N., Aaron Galaznik, Vera Mastey, et al.. (2013). Adherence to Varenicline and Associated Smoking Cessation in a Community-Based Patient Setting. Journal of Managed Care Pharmacy. 19(2). 125–131. 46 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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