Martin Landray
- Genetics top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 2%
- Molecular Biology top 5%
- Physiology top 1%
- Co-authors
- Rory CollinsCathie SudlowNaomi E. AllenBette LiuJill P. PellPaul M. MatthewsPaul R. BurtonTim Peakman
- Topics
- Lipoproteins and Cardiovascular Health (24 papers)Health Systems, Economic Evaluations, Quality of Life (23 papers)Chronic Kidney Disease and Diabetes (22 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Martin Landray
121 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Genetics 2.1k
- Cardiology and Cardiovascular Medicine 2.1k
- Surgery 1.5k
- Molecular Biology 1.4k
- Physiology 1.4k
Countries citing papers authored by Martin Landray
This map shows the geographic impact of Martin Landray'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 Martin Landray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Landray more than expected).
Fields of papers citing papers by Martin Landray
This network shows the impact of papers produced by Martin Landray. 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 Martin Landray. The network helps show where Martin Landray may publish in the future.
Co-authorship network of co-authors of Martin Landray
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Landray. A scholar is included among the top collaborators of Martin Landray 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 Martin Landray. Martin Landray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | The Magic of Randomization versus the Myth of Real-World Evidencebreakdown → | 260 |
| 11 | 26 | |
| 12 | 4 | |
| 13 | 120 | |
| 14 | 203 | |
| 15 | Survey of treatment of hypertension among patients with ischemic stroke | 1 |
| 16 | [A cross-sectional study on the use of statin among patients with atherosclerotic ischemic stroke in China]. | 4 |
| 17 | Low Use of Statins among High-risk Patients in China | 1 |
| 18 | Survey of statin usage in 4429 diabetic patients with atherosclerostic cardiovascular disease in China | 2 |
| 19 | 74 | |
| 20 | 16 |
About Martin Landray
Martin Landray is a scholar working on Nephrology, Transplantation and Cardiology and Cardiovascular Medicine, having authored 124 papers that have together received 11.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (24 papers), Health Systems, Economic Evaluations, Quality of Life (23 papers) and Chronic Kidney Disease and Diabetes (22 papers). The work is most often cited by research in Nephrology (1.3k citations), Cardiology and Cardiovascular Medicine (2.1k citations) and Genetics (2.1k citations). Martin Landray has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Rory Collins, Cathie Sudlow, Naomi E. Allen, Bette Liu, Jill P. Pell, Paul M. Matthews, Paul R. Burton, Tim Peakman, Paul Elliott and John Gallacher. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.