Joseph B. Leader
- Cardiology and Cardiovascular Medicine top 10%
- Genetics
- Molecular Biology
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- H. Lester KirchnerDustin N. HartzelChristopher M. HaggertyBrandon K. FornwaltLinyuan JingChristopher W. GoodJonathan D SueverGregory J Wehner
- Topics
- Genetic Associations and Epidemiology (4 papers)Genomics and Rare Diseases (3 papers)Chronic Disease Management Strategies (2 papers)
- Journals
- CirculationPLoS ONEDiabetes
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Joseph B. Leader
22 papers receiving 734 citations
Peers
Comparison fields: 5 of 91
- Cardiology and Cardiovascular Medicine 296
- Genetics 152
- Molecular Biology 133
- Surgery 112
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by Joseph B. Leader
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 45 | |
| 4 | 25 | |
| 5 | 27 | |
| 6 | 47 | |
| 7 | Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal | 2 |
| 8 | 77 | |
| 9 | 38 | |
| 10 | 55 | |
| 11 | 38 | |
| 12 | 68 | |
| 13 | A deep neural network predicts survival after heart imaging better than cardiologists. | 2 |
| 14 | 34 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. | 12 |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 0 |
About Joseph B. Leader
Joseph B. Leader is a scholar working on Health Information Management, Genetics and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 748 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Health Informatics (18 citations), Cardiology and Cardiovascular Medicine (296 citations) and Health Information Management (43 citations). Joseph B. Leader has collaborated with scholars based in United States, United Kingdom and Italy. Frequent 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, Patrick Gladding and John G.F. Cleland. Their work appears in journals such as Circulation, PLoS ONE and Diabetes.
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.