C Morrell
- Cardiology and Cardiovascular Medicine
- Pediatrics, Perinatology and Child Health
- Genetics
- Statistics and Probability top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Angelo ScuteriSamer S. NajjarEdward G. LakattaThea de WetKrisela SteynNoël CameronNaomi LevittRichard Edwards
- Topics
- Obesity, Physical Activity, Diet (2 papers)Cardiovascular Function and Risk Factors (2 papers)Cardiovascular Health and Disease Prevention (2 papers)
- Partner nations
- United StatesItalySouth Africa
In The Last Decade
C Morrell
8 papers receiving 252 citations
Peers
Comparison fields: 5 of 96
- Cardiology and Cardiovascular Medicine 57
- Pediatrics, Perinatology and Child Health 48
- Genetics 44
- Statistics and Probability 34
- Endocrinology, Diabetes and Metabolism 33
Countries citing papers authored by C Morrell
This map shows the geographic impact of C Morrell'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 C Morrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Morrell more than expected).
Fields of papers citing papers by C Morrell
This network shows the impact of papers produced by C Morrell. 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 C Morrell. The network helps show where C Morrell may publish in the future.
Co-authorship network of co-authors of C Morrell
This figure shows the co-authorship network connecting the top 25 collaborators of C Morrell. A scholar is included among the top collaborators of C Morrell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C Morrell. C Morrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 35 | |
| 3 | 33 | |
| 4 | 51 | |
| 5 | 120 | |
| 6 | The relationship of obesity and the development of coronary heart disease to longitudinal changes in systolic blood pressure. | 1 |
| 7 | Incidence of Down's syndrome in the municipality of Rijeka and Istrian region | 7 |
| 8 | Statistical methods for studying individual change during aging | 2 |
About C Morrell
C Morrell is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability and Management Science and Operations Research, having authored 8 papers that have together received 268 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Statistics and Probability (34 citations), Obstetrics and Gynecology (22 citations) and Cardiology and Cardiovascular Medicine (57 citations). C Morrell has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include Angelo Scuteri, Samer S. Najjar, Edward G. Lakatta, Thea de Wet, Krisela Steyn, Noël Cameron, Naomi Levitt, Richard Edwards, George T. H. Ellison and L. Ferrucci. Their work appears in journals such as Biometrics, The Journals of Gerontology Series A and Journal of Epidemiology & Community Health.
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.