Mark McConnell
Impact in
- Health Informatics top 10%
Papers in
-
- Single-cell and spatial transcriptomics 2
- Cancer therapeutics and mechanisms 1
-
- Cardiomyopathy and Myosin Studies 4
- Cardiovascular Effects of Exercise 4
- Co-authors
- Liz Kingston (1 shared paper)C.T. McCarthy (1 shared paper)Eddie Armstrong (1 shared paper)Peter J. O’Dwyer (1 shared paper)Jil C. Tardiff (4 shared papers)Steven D. Schwartz (2 shared papers)Alexander V. Ratushny (5 shared papers)William J. Brady (1 shared paper)
- Journals
- Robotics (1 paper)Blood (1 paper)Journal of Biological Chemistry (1 paper)Biochemistry (1 paper)The AAPS Journal (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Mark McConnell
13 papers receiving 360 citations
Mark McConnell's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 12
- Geriatrics and Gerontology 19
- Cardiology and Cardiovascular Medicine 100
- Family Practice 9
- Health Information Management 12
Countries citing papers authored by Mark McConnell
This map shows the geographic impact of Mark McConnell'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 Mark McConnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark McConnell more than expected).
Fields of papers citing papers by Mark McConnell
This network shows the impact of papers produced by Mark McConnell. 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 Mark McConnell. The network helps show where Mark McConnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark McConnell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Service Robots in the Healthcare Sector Hit paper breakdown → | 2021 | 167 |
| 2 | 2015 | 57 | |
| 3 | 2017 | 25 | |
| 4 | 2017 | 23 | |
| 5 | 1988 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2017 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2014 | 1 | |
| 13 | 2020 | 1 |
About Mark McConnell
Mark McConnell is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, General Health Professions and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 368 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (4 papers), Cardiovascular Effects of Exercise (4 papers), Single-cell and spatial transcriptomics (2 papers), Diabetes Management and Research (2 papers), Diabetes Treatment and Management (2 papers), Multiple Myeloma Research and Treatments (2 papers), Clinical practice guidelines implementation (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Health Informatics (12 citations), Geriatrics and Gerontology (19 citations), Cardiology and Cardiovascular Medicine (100 citations), Family Practice (9 citations) and Health Information Management (12 citations). Mark McConnell has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Liz Kingston, C.T. McCarthy, Eddie Armstrong, Peter J. O’Dwyer, Jil C. Tardiff, Steven D. Schwartz, Alexander V. Ratushny, William J. Brady, Samuel A. Danziger and Ilse A. E. Bollen. Their work appears in journals such as Robotics, Blood, Journal of Biological Chemistry, Biochemistry and The AAPS Journal.
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.