Nathan Lay
Impact in
- Health Informatics top 2%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Prostate Cancer Diagnosis and Treatment 23
- Renal cell carcinoma treatment 7
- Prostate Cancer Treatment and Research 5
-
- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Ronald M. Summers (18 shared papers)Barış Türkbey (33 shared papers)Holger R. Roth (10 shared papers)Peter A. Pinto (23 shared papers)Peter L. Choyke (30 shared papers)Le Lü (8 shared papers)Bradford J. Wood (23 shared papers)Andrew Sohn (1 shared paper)
- Journals
- Abdominal Radiology (6 papers)Academic Radiology (4 papers)American Journal of Roentgenology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)The Journal of Urology (2 papers)
- Partner nations
- United StatesSingaporeTürkiye
In The Last Decade
Nathan Lay
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 538
- Pulmonary and Respiratory Medicine 646
- Computer Vision and Pattern Recognition 324
- Artificial Intelligence 269
Countries citing papers authored by Nathan Lay
This map shows the geographic impact of Nathan Lay'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 Nathan Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Lay more than expected).
Fields of papers citing papers by Nathan Lay
This network shows the impact of papers produced by Nathan Lay. 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 Nathan Lay. The network helps show where Nathan Lay may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Lay, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 251 | |
| 2 | 2017 | 128 | |
| 3 | 2019 | 99 | |
| 4 | 2018 | 73 | |
| 5 | 2018 | 71 | |
| 6 | 2017 | 60 | |
| 7 | 2017 | 58 | |
| 8 | 2020 | 57 | |
| 9 | 2013 | 53 | |
| 10 | 2021 | 52 | |
| 11 | 2018 | 48 | |
| 12 | 2007 | 43 | |
| 13 | 2017 | 43 | |
| 14 | 2016 | 40 | |
| 15 | 2022 | 31 | |
| 16 | 2017 | 31 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2017 | 17 |
About Nathan Lay
Nathan Lay is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced Neural Network Applications (8 papers), Renal cell carcinoma treatment (7 papers), Medical Image Segmentation Techniques (7 papers), AI in cancer detection (7 papers), Prostate Cancer Treatment and Research (5 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (538 citations), Pulmonary and Respiratory Medicine (646 citations), Computer Vision and Pattern Recognition (324 citations) and Artificial Intelligence (269 citations). Nathan Lay has collaborated with scholars based in United States, Singapore and Türkiye. Frequent co-authors include Ronald M. Summers, Barış Türkbey, Holger R. Roth, Peter A. Pinto, Peter L. Choyke, Le Lü, Bradford J. Wood, Andrew Sohn, Amal Farag and Adam P. Harrison. Their work appears in journals such as Abdominal Radiology, Academic Radiology, American Journal of Roentgenology, Journal of Magnetic Resonance Imaging and The Journal of Urology.
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.