Michael Corr
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Central Venous Catheters and Hemodialysis 5
-
- Renal Transplantation Outcomes and Treatments 5
- Co-authors
- Guiping Lin (1 shared paper)Xiao Qian Hu (1 shared paper)Dongsheng Wen (1 shared paper)Thomas Waterfield (5 shared papers)Jennifer Evans (2 shared papers)Mark David Lyttle (3 shared papers)Hannah J Mitchell (2 shared papers)Lisa McFetridge (2 shared papers)
- Journals
- BMJ Open (4 papers)Transplantation Reviews (3 papers)BMC Pediatrics (2 papers)BMC Nephrology (2 papers)The Lancet Infectious Diseases (2 papers)
- Partner nations
- United KingdomIrelandCzechia
In The Last Decade
Michael Corr
28 papers receiving 335 citations
Peers
Comparison fields: 5 of 65
- Transplantation 15
- Modeling and Simulation 22
- Infectious Diseases 85
- Obstetrics and Gynecology 16
- Microbiology 11
Countries citing papers authored by Michael Corr
This map shows the geographic impact of Michael Corr'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 Corr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Corr more than expected).
Fields of papers citing papers by Michael Corr
This network shows the impact of papers produced by Michael Corr. 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 Corr. The network helps show where Michael Corr may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Corr, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2010 | 69 | |
| 3 | 2020 | 22 | |
| 4 | 2017 | 21 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2024 | 14 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 6 | |
| 13 | The Impact of Structured Incentives on the Adoption of a Serious Game for Hand Hygiene Training in a Hospital Setting. | 2016 | 5 |
| 14 | 2023 | 5 | |
| 15 | 2019 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Michael Corr
Michael Corr is a scholar working on Emergency Medical Services, Transplantation, Infectious Diseases, Microbiology and Nephrology, having authored 31 papers that have together received 340 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Central Venous Catheters and Hemodialysis (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Dialysis and Renal Disease Management (2 papers), Renal and Vascular Pathologies (2 papers), Bacterial Infections and Vaccines (2 papers) and Vascular Procedures and Complications (2 papers). The work is most often cited by research in Transplantation (15 citations), Modeling and Simulation (22 citations), Infectious Diseases (85 citations), Obstetrics and Gynecology (16 citations) and Microbiology (11 citations). Michael Corr has collaborated with scholars based in United Kingdom, Ireland and Czechia. Frequent co-authors include Guiping Lin, Xiao Qian Hu, Dongsheng Wen, Thomas Waterfield, Jennifer Evans, Mark David Lyttle, Hannah J Mitchell, Lisa McFetridge, Chris J Watson and Shamez N Ladhani. Their work appears in journals such as BMJ Open, Transplantation Reviews, BMC Pediatrics, BMC Nephrology and The Lancet Infectious Diseases.
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.