Andrew D. Morris
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Genetics
- Physiology
- Molecular Biology
- Co-authors
- John ConnellJohn R. PetrieShinichiro UedaHenry L. ElliottLilian S. MurrayHarshal DeshmukhHelen M. ColhounRichard Donnelly
- Topics
- Genetic Associations and Epidemiology (2 papers)Cardiovascular and exercise physiology (2 papers)Heart Rate Variability and Autonomic Control (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismComplementary and alternative medicine
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Andrew D. Morris
9 papers receiving 260 citations
Peers
Comparison fields: 5 of 61
- Cardiology and Cardiovascular Medicine 120
- Endocrinology, Diabetes and Metabolism 80
- Genetics 62
- Physiology 58
- Molecular Biology 40
Countries citing papers authored by Andrew D. Morris
This map shows the geographic impact of Andrew D. Morris'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 Andrew D. Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Morris more than expected).
Fields of papers citing papers by Andrew D. Morris
This network shows the impact of papers produced by Andrew D. Morris. 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 Andrew D. Morris. The network helps show where Andrew D. Morris may publish in the future.
Co-authorship network of co-authors of Andrew D. Morris
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Morris. A scholar is included among the top collaborators of Andrew D. Morris 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 Andrew D. Morris. Andrew D. Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 22 | |
| 3 | 17 | |
| 4 | 10 | |
| 5 | 88 | |
| 6 | 9 | |
| 7 | Insulin resistance and essential hypertension | 1 |
| 8 | 33 | |
| 9 | 55 |
About Andrew D. Morris
Andrew D. Morris is a scholar working on Complementary and alternative medicine, Nephrology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 266 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Cardiovascular and exercise physiology (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (120 citations), Endocrinology, Diabetes and Metabolism (80 citations) and Complementary and alternative medicine (26 citations). Andrew D. Morris has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include John Connell, John R. Petrie, Shinichiro Ueda, Henry L. Elliott, Lilian S. Murray, Harshal Deshmukh, Helen M. Colhoun, Richard Donnelly, Michael Small and Eleftheria Zeggini. Their work appears in journals such as Diabetes, International Journal of Epidemiology and Journal of Hypertension.
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.