Lucy M. Warren
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Oncology
- Co-authors
- Kenneth C. YoungDavid R. DanceAlistair MackenzieRosalind Given-WilsonMatthew WallisJulie CookeDev P. ChakrabortyHilde Bosmans
- Topics
- Digital Radiography and Breast Imaging (21 papers)AI in cancer detection (19 papers)Medical Imaging Techniques and Applications (11 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineArtificial Intelligence
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Lucy M. Warren
25 papers receiving 313 citations
Peers
Comparison fields: 5 of 28
- Pulmonary and Respiratory Medicine 261
- Radiology, Nuclear Medicine and Imaging 234
- Artificial Intelligence 177
- Biomedical Engineering 85
- Oncology 53
Countries citing papers authored by Lucy M. Warren
This map shows the geographic impact of Lucy M. Warren'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 Lucy M. Warren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy M. Warren more than expected).
Fields of papers citing papers by Lucy M. Warren
This network shows the impact of papers produced by Lucy M. Warren. 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 Lucy M. Warren. The network helps show where Lucy M. Warren may publish in the future.
Co-authorship network of co-authors of Lucy M. Warren
This figure shows the co-authorship network connecting the top 25 collaborators of Lucy M. Warren. A scholar is included among the top collaborators of Lucy M. Warren 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 Lucy M. Warren. Lucy M. Warren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 35 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 41 | |
| 17 | 13 | |
| 18 | 31 | |
| 19 | 67 | |
| 20 | 1 |
About Lucy M. Warren
Lucy M. Warren is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 319 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (21 papers), AI in cancer detection (19 papers) and Medical Imaging Techniques and Applications (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (234 citations), Pulmonary and Respiratory Medicine (261 citations) and Artificial Intelligence (177 citations). Lucy M. Warren has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Kenneth C. Young, David R. Dance, Alistair Mackenzie, Rosalind Given-Wilson, Matthew Wallis, Julie Cooke, Dev P. Chakraborty, Hilde Bosmans, Mark Halling‐Brown and Premkumar Elangovan. Their work appears in journals such as British Journal of Cancer, American Journal of Roentgenology and Physics in Medicine and Biology.
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.