Leslie R. Lamb
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Pathology and Forensic Medicine top 5%
- Oncology
- Co-authors
- Constance D. LehmanManisha BahlRebecca E. ThornhillHelen Anne D’AlessandroNicola SchiedaTaryn HodgdonTrevor A. FloodMatthew D. F. McInnes
- Topics
- AI in cancer detection (14 papers)Breast Lesions and Carcinomas (13 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Leslie R. Lamb
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 535
- Pulmonary and Respiratory Medicine 337
- Artificial Intelligence 321
- Pathology and Forensic Medicine 246
- Oncology 228
Countries citing papers authored by Leslie R. Lamb
This map shows the geographic impact of Leslie R. Lamb'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 Leslie R. Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie R. Lamb more than expected).
Fields of papers citing papers by Leslie R. Lamb
This network shows the impact of papers produced by Leslie R. Lamb. 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 Leslie R. Lamb. The network helps show where Leslie R. Lamb may publish in the future.
Co-authorship network of co-authors of Leslie R. Lamb
This figure shows the co-authorship network connecting the top 25 collaborators of Leslie R. Lamb. A scholar is included among the top collaborators of Leslie R. Lamb 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 Leslie R. Lamb. Leslie R. Lamb 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 135 | |
| 8 | 4 | |
| 9 | 62 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | 21 | |
| 15 | 15 | |
| 16 | 26 | |
| 17 | 18 | |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 1 |
About Leslie R. Lamb
Leslie R. Lamb is a scholar working on Microbiology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Breast Lesions and Carcinomas (13 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Health Informatics (68 citations), Radiology, Nuclear Medicine and Imaging (535 citations) and Cancer Research (218 citations). Leslie R. Lamb has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Constance D. Lehman, Manisha Bahl, Rebecca E. Thornhill, Helen Anne D’Alessandro, Nicola Schieda, Taryn Hodgdon, Trevor A. Flood, Matthew D. F. McInnes, Kevin S. Hughes and Michelle C. Specht. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Radiology.
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.