Michael Sweeney
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
Papers in
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- Chronic Kidney Disease and Diabetes 6
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- Atherosclerosis and Cardiovascular Diseases 4
- Co-authors
- Ewelina Kulikowski (35 shared papers)Norman C.W. Wong (29 shared papers)Jan O. Johansson (23 shared papers)Stephen James Nicholls (12 shared papers)Kausik Kumar Ray (12 shared papers)Gregory G. Schwartz (12 shared papers)Kamyar Kalantar‐Zadeh (14 shared papers)Sylwia Wasiak (20 shared papers)
- Journals
- Atherosclerosis (5 papers)Journal of the American College of Cardiology (3 papers)Biomedicines (3 papers)Clinical Epigenetics (2 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michael Sweeney
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Nephrology 107
- Molecular Biology 607
- Cardiology and Cardiovascular Medicine 165
- Infectious Diseases 95
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by Michael Sweeney
This map shows the geographic impact of Michael Sweeney'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 Michael Sweeney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sweeney more than expected).
Fields of papers citing papers by Michael Sweeney
This network shows the impact of papers produced by Michael Sweeney. 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 Michael Sweeney. The network helps show where Michael Sweeney may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 176 | |
| 2 | 2020 | 128 | |
| 3 | 2019 | 107 | |
| 4 | 2017 | 101 | |
| 5 | 2016 | 96 | |
| 6 | 2021 | 72 | |
| 7 | 2021 | 55 | |
| 8 | 2018 | 52 | |
| 9 | 2019 | 50 | |
| 10 | 2017 | 45 | |
| 11 | 2017 | 35 | |
| 12 | 2018 | 34 | |
| 13 | 2019 | 33 | |
| 14 | 2020 | 33 | |
| 15 | 2021 | 25 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2022 | 17 | |
| 19 | 2020 | 12 | |
| 20 | 2022 | 12 |
About Michael Sweeney
Michael Sweeney is a scholar working on Nephrology, Immunology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (19 papers), Chronic Kidney Disease and Diabetes (6 papers), Diabetes Treatment and Management (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Nephrology (107 citations), Molecular Biology (607 citations), Cardiology and Cardiovascular Medicine (165 citations), Infectious Diseases (95 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Michael Sweeney has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ewelina Kulikowski, Norman C.W. Wong, Jan O. Johansson, Stephen James Nicholls, Kausik Kumar Ray, Gregory G. Schwartz, Kamyar Kalantar‐Zadeh, Sylwia Wasiak, Dean Gilham and Laura M. Tsujikawa. Their work appears in journals such as Atherosclerosis, Journal of the American College of Cardiology, Biomedicines, Clinical Epigenetics and Cardiovascular Diabetology.
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.