Jacqueline S. Dron
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Robert A. HegeleJian WangAdam D. McIntyreHenian CaoJohn F. RobinsonMichael A. IacoccaMurray W. HuffMatthew R. Ban
- Topics
- Lipoproteins and Cardiovascular Health (20 papers)Lipid metabolism and disorders (17 papers)Genetic Associations and Epidemiology (13 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Jacqueline S. Dron
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Surgery 703
- Cardiology and Cardiovascular Medicine 657
- Endocrinology, Diabetes and Metabolism 459
- Molecular Biology 302
- Genetics 289
Countries citing papers authored by Jacqueline S. Dron
This map shows the geographic impact of Jacqueline S. Dron'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 Jacqueline S. Dron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline S. Dron more than expected).
Fields of papers citing papers by Jacqueline S. Dron
This network shows the impact of papers produced by Jacqueline S. Dron. 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 Jacqueline S. Dron. The network helps show where Jacqueline S. Dron may publish in the future.
Co-authorship network of co-authors of Jacqueline S. Dron
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline S. Dron. A scholar is included among the top collaborators of Jacqueline S. Dron 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 Jacqueline S. Dron. Jacqueline S. Dron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 36 | |
| 10 | 33 | |
| 11 | 10 | |
| 12 | 126 | |
| 13 | 32 | |
| 14 | 21 | |
| 15 | 54 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 47 | |
| 19 | 60 | |
| 20 | 84 |
About Jacqueline S. Dron
Jacqueline S. Dron is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Lipid metabolism and disorders (17 papers) and Genetic Associations and Epidemiology (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (657 citations), Endocrinology, Diabetes and Metabolism (459 citations) and Cancer Research (288 citations). Jacqueline S. Dron has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Robert A. Hegele, Jian Wang, Adam D. McIntyre, Henian Cao, John F. Robinson, Michael A. Iacocca, Murray W. Huff, Matthew R. Ban, Irina Movsesyan and Clive R. Pullinger. Their work appears in journals such as Nature Communications, Journal of the American College of Cardiology and Circulation Research.
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.