Michael Sharkey
Impact in
- Health Informatics top 10%
Papers in
-
- Pulmonary Hypertension Research and Treatments 9
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
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- Venous Thromboembolism Diagnosis and Management 3
- Co-authors
- Andrew J. Swift (14 shared papers)Krit Dwivedi (20 shared papers)Samer Alabed (21 shared papers)David G. Kiely (12 shared papers)Ian H. Frazer (1 shared paper)Linda A. Dunn (1 shared paper)Nigel A.J. McMillan (1 shared paper)Jian Zhou (1 shared paper)
- Journals
- Frontiers in Cardiovascular Medicine (4 papers)British Journal of Radiology (2 papers)ERJ Open Research (2 papers)Cladistics (2 papers)Heart (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Michael Sharkey
24 papers receiving 328 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 19
- Internal Medicine 14
- Paleontology 31
- Pulmonary and Respiratory Medicine 86
- Critical Care and Intensive Care Medicine 11
Countries citing papers authored by Michael Sharkey
This map shows the geographic impact of Michael Sharkey'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 Sharkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sharkey more than expected).
Fields of papers citing papers by Michael Sharkey
This network shows the impact of papers produced by Michael Sharkey. 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 Sharkey. The network helps show where Michael Sharkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Sharkey, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 82 | |
| 2 | 1989 | 46 | |
| 3 | 2021 | 24 | |
| 4 | 2001 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2024 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 1992 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2024 | 13 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 1992 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 1 |
About Michael Sharkey
Michael Sharkey is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine, Health Informatics, Genetics and Epidemiology, having authored 29 papers that have together received 347 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (9 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced X-ray and CT Imaging (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Artificial Intelligence in Healthcare (1 paper) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Health Informatics (19 citations), Internal Medicine (14 citations), Paleontology (31 citations), Pulmonary and Respiratory Medicine (86 citations) and Critical Care and Intensive Care Medicine (11 citations). Michael Sharkey has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Andrew J. Swift, Krit Dwivedi, Samer Alabed, David G. Kiely, Ian H. Frazer, Linda A. Dunn, Nigel A.J. McMillan, Jian Zhou, Ranjeny Thomas and Robert W. Tindle. Their work appears in journals such as Frontiers in Cardiovascular Medicine, British Journal of Radiology, ERJ Open Research, Cladistics and Heart.
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.