Lee Cooper
- Health Informatics top 0.5%
- Biophysics top 0.5%
- Cell Image Analysis Techniques 28
- Genetics top 1%
- Glioma Diagnosis and Treatment 19
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- Radiomics and Machine Learning in Medical Imaging 21
- Advanced MRI Techniques and Applications 7
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 9
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- AI in cancer detection 39
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- Medical Image Segmentation Techniques 16
- Digital Imaging for Blood Diseases 9
- Co-authors
- Daniel J. BratDavid A. GutmanMohamed AmgadJoel SaltzJun KongSafoora YousefiPooya MobadersanyTahsin Kurç
- Cited by
- Health InformaticsBiophysicsGenetics
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Lee Cooper
111 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Health Informatics 161
- Biophysics 492
- Genetics 811
- Radiology, Nuclear Medicine and Imaging 1.5k
- Cancer Research 663
Countries citing papers authored by Lee Cooper
This map shows the geographic impact of Lee Cooper'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 Lee Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Cooper more than expected).
Fields of papers citing papers by Lee Cooper
This network shows the impact of papers produced by Lee Cooper. 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 Lee Cooper. The network helps show where Lee Cooper may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lee Cooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 53 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 0 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 22 | |
| 12 | 2019 | 74 | |
| 13 | Predicting cancer outcomes from histology and genomics using convolutional networksbreakdown → | 2018 | 646 |
| 14 | 2017 | 100 | |
| 15 | 2017 | 283 | |
| 16 | 2015 | 73 | |
| 17 | 2012 | 179 | |
| 18 | 2011 | 18 | |
| 19 | 2011 | 17 | |
| 20 | DESIGNING THE CONTROL AND SIMULATION OF EGR | 1996 | 1 |
About Lee Cooper
Lee Cooper is a scholar working on Biophysics, Health Informatics and Orthodontics, having authored 117 papers that have together received 4.4k indexed citations. Recurring topics across this work include AI in cancer detection (39 papers), Cell Image Analysis Techniques (28 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Glioma Diagnosis and Treatment (19 papers), Medical Image Segmentation Techniques (16 papers), Digital Imaging for Blood Diseases (9 papers), Cancer Genomics and Diagnostics (9 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Health Informatics (161 citations), Biophysics (492 citations) and Genetics (811 citations). Lee Cooper has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Daniel J. Brat, David A. Gutman, Mohamed Amgad, Joel Saltz, Jun Kong, Safoora Yousefi, Pooya Mobadersany, Tahsin Kurç, Jill S. Barnholtz‐Sloan and José E. Velázquez Vega. Their work appears in journals such as Scientific Reports, Cancer Research, Modern Pathology, Laboratory Investigation and Caries Research.
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.