Joshua W. Knowles
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 1%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 2%
- Co-authors
- Euan A. AshleyNobuyo MaedaFrederick G. BurgettSigurd P. RamfjordOliver SmithiesRobert R. NissleDaniel J. RaderFátima Rodríguez
- Topics
- Lipoproteins and Cardiovascular Health (38 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers)Genetic Associations and Epidemiology (22 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Joshua W. Knowles
138 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Cardiology and Cardiovascular Medicine 1.9k
- Surgery 1.9k
- Molecular Biology 1.7k
- Endocrinology, Diabetes and Metabolism 936
- Genetics 915
Countries citing papers authored by Joshua W. Knowles
This map shows the geographic impact of Joshua W. Knowles'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 Joshua W. Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua W. Knowles more than expected).
Fields of papers citing papers by Joshua W. Knowles
This network shows the impact of papers produced by Joshua W. Knowles. 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 Joshua W. Knowles. The network helps show where Joshua W. Knowles may publish in the future.
Co-authorship network of co-authors of Joshua W. Knowles
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua W. Knowles. A scholar is included among the top collaborators of Joshua W. Knowles 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 Joshua W. Knowles. Joshua W. Knowles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 77 | |
| 14 | 17 | |
| 15 | 9 | |
| 16 | 45 | |
| 17 | Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicitybreakdown → | 533 |
| 18 | The Agenda for Familial Hypercholesterolemiabreakdown → | 450 |
| 19 | 15 | |
| 20 | 14 |
About Joshua W. Knowles
Joshua W. Knowles is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 153 papers that have together received 6.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (38 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Genetic Associations and Epidemiology (22 papers). The work is most often cited by research in Periodontics (565 citations), Cardiology and Cardiovascular Medicine (1.9k citations) and Endocrinology, Diabetes and Metabolism (936 citations). Joshua W. Knowles has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Euan A. Ashley, Nobuyo Maeda, Frederick G. Burgett, Sigurd P. Ramfjord, Oliver Smithies, Robert R. Nissle, Daniel J. Rader, Fátima Rodríguez, Edith C. Morrison and Richard A. Shick. Their work appears in journals such as JAMA, Circulation and Journal of Clinical Investigation.
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.