Daniel Ray
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Health Informatics top 5%
Papers in
-
- Renal Transplantation Outcomes and Treatments 4
-
- Lung Cancer Diagnosis and Treatment 8
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Irena Begaj (11 shared papers)Adnan Sharif (9 shared papers)Duilio Pagano (6 shared papers)Nick Freemantle (6 shared papers)Daniela Farrugia (6 shared papers)Sajan Khosla (5 shared papers)David A. McNulty (6 shared papers)James Cheshire (4 shared papers)
- Journals
- Radiology (4 papers)Frontiers in Public Health (3 papers)Journal of Thoracic Oncology (2 papers)BMJ Open (2 papers)Kidney International (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel Ray
55 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 158
- Transplantation 163
- Health Informatics 49
- Emergency Medicine 156
- Internal Medicine 44
- Biophysics 59
Countries citing papers authored by Daniel Ray
This map shows the geographic impact of Daniel Ray'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 Daniel Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ray more than expected).
Fields of papers citing papers by Daniel Ray
This network shows the impact of papers produced by Daniel Ray. 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 Daniel Ray. The network helps show where Daniel Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ray, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 232 | |
| 2 | 2015 | 208 | |
| 3 | 2020 | 135 | |
| 4 | 2013 | 125 | |
| 5 | 2009 | 106 | |
| 6 | 2020 | 101 | |
| 7 | 2021 | 99 | |
| 8 | 2013 | 84 | |
| 9 | 2020 | 69 | |
| 10 | 2009 | 53 | |
| 11 | 2010 | 52 | |
| 12 | 2013 | 45 | |
| 13 | 1992 | 45 | |
| 14 | 2013 | 43 | |
| 15 | 2023 | 42 | |
| 16 | 2013 | 40 | |
| 17 | 2018 | 37 | |
| 18 | 2018 | 34 | |
| 19 | 2019 | 33 | |
| 20 | 2021 | 31 |
About Daniel Ray
Daniel Ray is a scholar working on Transplantation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Renal Transplantation Outcomes and Treatments (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Telemedicine and Telehealth Implementation (3 papers), Lung Cancer Treatments and Mutations (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Stochastic processes and financial applications (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Transplantation (163 citations), Health Informatics (49 citations), Emergency Medicine (156 citations), Internal Medicine (44 citations) and Biophysics (59 citations). Daniel Ray has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Irena Begaj, Adnan Sharif, Duilio Pagano, Nick Freemantle, Daniela Farrugia, Sajan Khosla, David A. McNulty, James Cheshire, Bruce E. Keogh and Sian Bradley. Their work appears in journals such as Radiology, Frontiers in Public Health, Journal of Thoracic Oncology, BMJ Open and Kidney International.
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.