Michael Sweeney
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Nephrology top 10%
Papers in
-
- Protein Degradation and Inhibitors 25
- Ubiquitin and proteasome pathways 2
- Cancer-related gene regulation 2
-
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Ewelina Kulikowski (35 shared papers)Norman C.W. Wong (31 shared papers)Jan O. Johansson (23 shared papers)Stephen J. Nicholls (13 shared papers)Kausik K. Ray (12 shared papers)Gregory G. Schwartz (12 shared papers)Kamyar Kalantar‐Zadeh (15 shared papers)Sylwia Wasiak (20 shared papers)
- Journals
- Atherosclerosis (5 papers)Biomedicines (3 papers)Journal of the American College of Cardiology (3 papers)Clinical Epigenetics (2 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michael Sweeney
35 papers receiving 865 citations
Peers
Comparison fields: 5 of 62
- Hematology 120
- Nephrology 59
- Molecular Biology 579
- Endocrinology, Diabetes and Metabolism 124
- Cardiology and Cardiovascular Medicine 92
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2019 | 96 | |
| 3 | 2017 | 90 | |
| 4 | 2016 | 90 | |
| 5 | 2021 | 62 | |
| 6 | 2018 | 52 | |
| 7 | 2019 | 48 | |
| 8 | 2021 | 45 | |
| 9 | 2017 | 44 | |
| 10 | 2019 | 32 | |
| 11 | 2018 | 32 | |
| 12 | 2020 | 32 | |
| 13 | 2017 | 32 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 17 | |
| 17 | 2016 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 10 |
About Michael Sweeney
Michael Sweeney is a scholar working on Molecular Biology, Hematology, Virology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 918 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (25 papers), Diabetes Treatment and Management (3 papers), HIV Research and Treatment (3 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Complement system in diseases (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hematology (120 citations), Nephrology (59 citations), Molecular Biology (579 citations), Endocrinology, Diabetes and Metabolism (124 citations) and Cardiology and Cardiovascular Medicine (92 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 J. Nicholls, Kausik K. Ray, Gregory G. Schwartz, Kamyar Kalantar‐Zadeh, Sylwia Wasiak, Dean Gilham and Laura Tsujikawa. Their work appears in journals such as Atherosclerosis, Biomedicines, Journal of the American College of Cardiology, 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.